Åbo Akademi Datavetenskap - Computer Science

Highly rewarding to see the enthusiasm of the 40+ 6th grade kids who got introduced to coding in our Hour of Code event yesterday at Turku Centre for Computer Science - TUCS. One hour of coding, followed by an hour of friendly "coding battles" between the 2 schools.

Many thanks to our own computer science students Sebastian Penttinen, Joel Sjöblom, Patric Gustafsson, Henrik Soderberg, Daniela Schacherer who gently and enthusiastically guided the youngsters through their coding.

With Ion Petre and Mikhail Barash.

https://news.abounderrattelser.fi/att-sticka-ihjal-skelett…/

Sidan finns inte - Åbo Underrättelser

Department of Computer Science had a highly successful round of funding from the Academy of Finland: two projects received funding for the period 2017-2021. They are led by
- Eugen Czeizler (Algorithmic Nanotechnology: Modeling, Design and Automation of Synthetic Self-Assembly Systems (AlgoNano))
and
- Mats Neovius (LibDat: Kohti pidemmälle kehittynyttä lainaamis- ja lukemiskulttuuria. Digitaaliseen aineistoon perustuva tutkimus nykyisistä suomalaisista lainaamis- ja lukemistavoista).
Congratulations to Eugen and Mats!

You probably should have majored in computer science The ratio of recent college graduates to open jobs is insane.

Kom med: Datavetenskap anställer en universitetslärare, tillsvidare från och med 1.8.2017

Join us: Computer Science @ ÅA has an open position as university teacher.

http://www.abo.fi/personal/sv/News/Item/item/12312

Åbo Akademi Fakulteten för naturvetenskaper och teknik anställer en universitetslärare i datavetenskap, tillsvidare från och med 1.8.2017.

Our two-year IT master programme is designed to provide you with an understanding of computation, communication and information processing in the context of our fast-changing society, and to enable you to be successful in your life-long career. It will provide you with the necessary knowledge and skills to join the IT-industry as well as data-driven industries, and to participate in demanding industrial and research projects. It also provides the required background to apply to a doctoral study programme.
Students can specialise in one of the three tracks offered by the programme:

• Computer Science
• Embedded Systems
• Software Engineering

The description for our Computer Science track follows, for more information on degree structure and admission process please visit http://www.abo.fi/fakultet/en/master_it

Computer Science Track

The Computer Science track paves the way for our students towards building a career in three hot and on-demand fields: data science, bioinformatics, critical systems. Our program offers an ideal combination of foundational and practical studies, and offers desirable options for a wide spectrum of students from those who seek a future in the industry to those who wish to build up a career in academia. We prepare our students for the life as professionals through an enjoyable, well-thought and challenging journey.

The first year of studies in computer science is focused on the foundational aspects of the program. Our students go through a number of core computer science courses and choose a specialization from three offered thematic modules. They also experience a lab internship in the department to get a hands-on experience with the department’s research, as well as with its culture. The second year of studies offers the practical aspect of the program with a focus on a large team project and on the Master thesis project.

Computer Science thematic modules:

Bioinformatics

Bioinformatics is one of the most attractive multidisciplinary areas for researchers which facilitates exploring biology inspired problems with different computational methods. Bioinformatics is used in a wide range of areas ranging from personalized medicine to forensic analysis to gene therapy and evolutionary studies. Computational biomodelling and simulation, that we focus on in this program, can provide valuable insight when the prospect of experimentation is limited due to the safety and feasibility issues. The application of this kind of approaches includes, but is not limited to, the evaluation of normal and diseased conditions, individualized drug design, discovery of the underlying functionalities of biological systems, and prediction of the medical procedures’ outcomes. The goal of this module is to provide the students with the knowledge of current tools and methods related to the nature inspired computing and modeling techniques. They will acquire the foundations to interpret complex biological data through dynamic models and simulations, and to perform analysis on them using well-known efficient bioinformatics software.

Computational Data Analytics
In the age of data explosion, the face of research done in scientific fields is being changed dramatically. Nowadays, scientists are dealing with massive amount of unstructured data which contains unprecedented amount of information which in turn can facilitate breakthrough data-driven discoveries and predictions. These skills can be employed in a wide range of fields including digital advertisements, recommender systems, image recognition, business intelligence, etc. That is why the demand for the “data scientists” with the ability to read through this entangled web of knowledge is on the rise. With this rising demand throughout the world, the number of data scientists is still very scarce. This module is designed to address the ever growing need for the skilled data scientists. At the end of this module the students will be able to build computational models to interpret and analyze given data sets ranging from medium sized datasets to the large ones. They will be able to effectively process the data and to use sophisticated software developed for handling big data.

Distributed and critical systems
This module is aimed to give the students tools for developing distributed and critical systems. Distributed Systems that need to be safe and reliable exist everywhere today, for instance, in form of control systems, networked sensor systems and embedded systems. Examples of these kind of systems are systems for self-driving cars, e-health, smart houses, as well as control systems for drones. The goal of this module is that the students will learn about the basics of these distributed systems and how to make them reliable. The students will also be provided methods and tools for developing such complex systems to function as required and in a safe way. Since many of these distributed systems deal with highly sensitive data, means for dealing with security issues are also provided.

Åbo Akademi - Information Technology You are here: Faculties › Science and Engineering › Studies › Education › Master’s programmes › Information Technology

Turun Sanomat on our new online courses on data science and on the AVOT project we run together with our colleagues from University of Turku.

The Computational Biomodeling Laboratory (Combio) at our department received the Best Paper Award at the 14th International Conference on Computational Methods in Systems Biology (CMSB) for the article

Eugen Czeizler, Cristian Gratie, Wu Kai Chiu, Krishna Kanhaiya and Ion Petre - Target Controllability of Linear Networks

CMSB is the premiere conference on the computational methodological part of the systems biology research community.

The award comes with a great NVIDIA Tesla K40 GPU card.

It is the second time in a few years when the Combio team receives the best paper award at CMSB!

More interesting Master's thesis ideas for the fall term below!

Subject: Uusi opinnäytetyöaihe: Thesis work: Front-end or back-end software development of an audience management platform
Date: Sun, 5 Jun 2016 13:45:52 +0300 (EEST)
From: Aarresaari
Reply-To: Aarresaari
To: Arbetsforum

Ilmoituksen numero: 19234
Otsikko / Tehtävänimike: Thesis work: Front-end or back-end software development of an audience management platform
Kuvaus: Utilization of location and proximity techniques in programmatic advertisement is currently growing rapidly. According to the latest Proxbook Q1 2016 report, more that 6.2 million proximity sensors or beacons have already been deployed and the number is growing by more than 20% per quarter, well on track to hit the ABI research prediction of 400 million beacons by 2020. The number is already large enough to pose a challenge from a management perspective. Jagah Systems AB, an award winning indoor positioning startup, in collaboration with Nordron AB, a data analytics company specialized in software solutions for identification of decision variables and analysis of panel data, is therefore building an audience management platform. Join us to become a part of this vibrant and rapidly growing field that enable delivery of relevant desired ads instead of spam.

Knowledge of either back-end software development in Python or front-end software development in JavaScript is required. Knowledge of machine learning, pattern recognition, natural language processing, statistics, or econometrics is beneficial, but not required. Experience of working with any of the following is beneficial, but not required: Linux, Python, JavaScript, UML, Django, Bower, Npm, React, Flux, jQuery, node.js, D3, sigmaJs, JSON, Bootstrap, PapaParse, Guincorn, Virtualenv, Gulp, SciDB, Neo4j, MongoDB, or PostgreSQL. All work is done as a part of an international team and the software and thesis should thus be written in English. All results of the project will be owned by Nordron AB and used by Jagah Systems AB. The work is partly done in Stockholm and partly in Tainan, the cultural capital of Taiwan. An individual scholarship or salary of 30 000 SEK will be awarded by Jagah Systems AB to the students that are selected upon successful completion. The project lasts
6 month
s and can be started any time after the 1st of September 2016. Apply today by emailing your Cover letter, CV, and relevant grades to [email protected]. The project is supervised by Torbjörn Nordling, Ph.D., and Maria Lindström, to whom any questions should be addressed.
Ajankohta ja kesto: The project lasts 6-8 months and can be started any time after the 1st of September 2016.
Työaika: Muu
Palkka:
Palkkaukseen tai muuhun rahoitukseen liittyvät lisätiedot: Negotiable
Opinnäytetyöpaikan sijainti: Ulkomaat
Julkaisupäivä: 2016-06-05
Viimeinen hakupäivä: 2016-08-15
Ilmoituksen lisätiedot: The project is supervised by Torbjörn Nordling, Ph.D., and Maria Lindström. Ask a question or apply today by email to [email protected]. Include your CV, a code sample with a short description answering what it is and why it is cool, and a transcript of your grades when you apply.
Suomen- tai ruotsinkielen taito ei ole tehtävässä välttämätön
Koulutusala(t): Luonnontieteellinen, Teknillistieteellinen
Työnantaja: Nordron AB
Yhteyshenkilö: Torbjörn Nordling
Osoite:
Puhelinnumero:
Sähköposti: [email protected]
Www-osoite: www.nordron.com
Facebook:
LinkedIn:
Twitter:
Logo: http://www.aarresaari.net/…/nordron_ab_nordron_red_and_blue…
Ilmoittajan nimi: Torbjörn Nordling
Ilmoittajan sähköposti: [email protected]
- Ilmoittajan sähköpostiosoitteen markkinointilupa: Kyllä
Suomen- tai ruotsinkielen taito ei ole tehtävässä välttämätön

Nordron - Data Analysis for You

Searching for a Master's thesis project for the fall term? Read this!! (The task description is in English, the job would be done in Sweden and Taiwan!)

Subject: Muokattu opinnXytetyXaihe: Thesis work: Back-end software development in Python
Date: Sun, 5 Jun 2016 13:35:21 +0300 (EEST)
From: Aarresaari
To: [email protected]

Ilmoituksen numero: 19230
Otsikko / Tehtävänimike: Thesis work: Back-end software development in Python
Kuvaus: This is an opportunity to develop software for automated data analysis in large-scale biological experiments, which will improve quality and throughput in medically important studies at the Chemical Biology Consortium Sweden (CBCS). The master´s thesis project is a collaboration between Nordron AB and CBCS, which is a part of Science for Life Laboratories (SciLifeLab) in Solna. SciLifeLab is a national center for molecular biosciences established by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University, and Uppsala University.

This is a continuation of a long-term project to build a self-learning Software as a Service solution for automated recognition and loading of data stored in many different formats by employing machine learning techniques. Five different specializations are offered: (i) back-end software development in Python, (ii) front-end software development in JavaScript, (iii) machine learning for automatic reconstruction of high dimensional data, (iv) system architecture design, and (v) user experience (Ux) design. See the other ads for more information about the other specializations. This project is an excellent opportunity to acquire new skills, practice what your have learnt, and demonstrate your ability in a way that will set you apart from your classmates and jump start your professional carrier with a strong merit on your CV (Curriculum Vitae). You will contribute towards setting a new standard for data loading in biological screening that forever will enable faster results.

A broad range of different analysis techniques for studies of biological responses are available at CBCS and its academic collaborators. Regardless of reading modality a common denominator for data generated in these projects is that they are obtained in 96-, 384-, or 1536-well microtiter plate format. Compound library screening means a large number of such microplates are processed in parallel, thus requiring efficient means for automated data import and handling.

A challenge in our, as well as other screening environments, that adopt a broad range of different technologies from various manufacturers, is the ability to efficiently manage the different data formats that frequently are changed. This handling includes automated import of data and assignment of the correct plate maps, regardless of the instrument output. There are commercial solutions available for this process, but they all require prior generation of templates to which data must conform. Our environment requires a more open solution where data from any instrument can be automatically learnt and imported and plate maps and controls assigned to individual plates in a graphical interface based on what the user in fact generated. In other words, a solution that learns the structure and format of data files automatically and allows the user to view and manipulate the resulting n-dimensional data array for further analysis in specialized software.

Nordron AB is a data analytics company founded in 2013. Nordron is specialised in software solutions for identification of decision variables and analysis of panel data. Nordron AB, has in collaboration with CBCS, been building this automated data analysis solution since 2015 and expect to deploy the system in February 2017. The system is built as a highly scalable Software as a Service solution on Linux servers using Python, JavaScript, Django, NGINX, and a several other state of the art tools.

Knowledge of and an interest in back-end software development in Python is required. Knowledge of front-end software development in JavaScript, design of cloud architecture, machine learning, pattern recognition, natural language processing, statistics, cheminformatics, or user experience design is beneficial, but not required. You will gain experience of working with the following: Linux, GIT, Python, UML, Django, NGINX, Gunicorn, Virtualenv, SciDB, and PostgreSQL. The software and thesis should be written in English. All results of the project will be owned by Nordron AB and used by CBCS. The work is mainly done at CBCS facilities at Karolinska Institutet Science Park, Tomtebodavägen 23A, 171 65 Solna, with the possibility to spend three months working in Tainan, the cultural capital of Taiwan. The project lasts 6 months and can be started any time after the 21st of August 2016. Apply today by emailing your CV, a code sample with a short description answering what it is and why it is cool, and a transcript of your grades to [email protected]. Applications will be reviewed continuously. The project is supervised by Torbjörn Nordling, Ph.D., and Thomas Lundbäck, Ph.D., to whom any questions should be addressed. For further information see http://www.cbcs.se and http://www.nordron.com/
Ajankohta ja kesto: The project lasts 6-8 months and can be started any time after the 21st of August 2016.
Työaika: Muu
Palkka:
Palkkaukseen tai muuhun rahoitukseen liittyvät lisätiedot: Negotiable
Opinnäytetyöpaikan sijainti: Ulkomaat
Julkaisupäivä: 2016-06-05
Viimeinen hakupäivä: 2016-08-15
Ilmoituksen lisätiedot: The project is supervised by Torbjörn Nordling, Ph.D., and Thomas Lundbäck, Ph.D. Ask a question or apply today by email to [email protected]. Include your CV, a code sample with a short description answering what it is and why it is cool, and a transcript of your grades when you apply.
Suomen- tai ruotsinkielen taito ei ole tehtävässä välttämätön
Koulutusala(t): Luonnontieteellinen, Teknillistieteellinen
Työnantaja: Nordron AB
Yhteyshenkilö: Torbjörn Nordling
Osoite:
Puhelinnumero:
Sähköposti: [email protected]
Www-osoite: www.nordron.com
Facebook:
LinkedIn:
Twitter:
Logo: http://www.aarresaari.net/…/nordron_ab_nordron_red_and_blue…
Ilmoittajan nimi: Torbjörn Nordling
Ilmoittajan sähköposti: [email protected]
- Ilmoittajan sähköpostiosoitteen markkinointilupa: Kyllä

Welcome to CBCS - Chemical Biology Consortium Sweden Chemical Biology Consortium Sweden is a national research infrastructure dedicated to assisting academic researchers at Swedish Universities with the identification and development of small molecules for basic research. High Throughput screening, assay development, medicinal chemistry, chemical biol...

Graduation ceremony at our university. Congratulations to our graduates and good luck!

New project at the Computer Science Department: http://www.abo.fi/public/sv/News/Item/item/11517

Åbo Akademi Du är här: Nyheter och fakta › Nyhetsarkiv › Juni 2016 › Tre projekt vid Åbo Akademi vidare i Tekes Challenge Finland