Science Outreach for Everyone

Science Outreach for Everyone

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Hi everyone. Are you looking for an online course on Applied Statistics? I am giving a course on February 23-24-25, 20221. Free of charge, registration compulsory at https://statistics.mpikg.mpg.de

Main topics covered are: estimation of and tests about of means, variances, quantiles, proportions; simple linear regression; power calculation; goodness-of-fit test and ANOVA. Participants will receive Jupyter notebooks with the solutions of the problems and exercises discussed in the class. At the end of the course, you will be able to apply all these methods to you own data.

Deadline for registration is February 22, 2022.
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Outreach activities are a key element of most important research projects. This page offers a platform to post research results to a broad readership.

You have published something interesting that you would like to disseminate to a broad, non-specialist public? You have a project for which you need to have some outreach activity? Contact me and we will work together to have your contribution posted on this page.

Wie gewohnt öffnen

Home | statistics.mpikg.mpg.de 14/02/2022

Home | statistics.mpikg.mpg.de

Hi everyone. Are you looking for an online course on Applied Statistics? I am giving a course on February 23-24-25, 20221. Free of charge, registration compulsory at https://statistics.mpikg.mpg.de

Main topics covered are: estimation of and tests about of means, variances, quantiles, proportions; simple linear regression; power calculation; goodness-of-fit test and ANOVA. Participants will receive Jupyter notebooks with the solutions of the problems and exercises discussed in the class. At the end of the course, you will be able to apply all these methods to you own data.

Deadline for registration is February 22, 2022.

Home | statistics.mpikg.mpg.de Statistics is a must-needed set of tools in experimental sciences. In almost every study, methods from statistics are necessary and their justification is required for a good level publication. Despite the availability of a number of powerful and sophisticated software, it is not always obvious what...

Home | statistics.mpikg.mpg.de 21/04/2021

Home | statistics.mpikg.mpg.de

Home | statistics.mpikg.mpg.de Statistics is a must-needed set of tools in experimental sciences. In almost every study, methods from statistics are necessary and their justification is required for a good level publication. Despite the availability of a number of powerful and sophisticated software, it is not always obvious what...

01/11/2020

Posts from Valleriani's Num63r5 for 11/01/2020

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25/04/2020

Posts from Valleriani's Num63r5 for 04/25/2020

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23/04/2020

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21/04/2020

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16/04/2020

Posts from Valleriani's Num63r5 for 04/16/2020

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02/04/2020

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27/03/2020

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17/03/2020

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10/03/2020

Science for Everyone

Look at this blog on spreading of the coronavirus

http://www.spcbs.de

11/06/2018

Dimitrios Vavylonis

A postdoctoral position is available in the Vavylonis group
(http://athena.physics.lehigh.edu/), focusing on the biophysics of
cell motion, polarization, and division. The position is for someone
interested in applying mathematical/computational tools and concepts
of physics and engineering to cell biological systems. Several
opportunities exist for collaboration with experimental cell
biologists as well as with the group of Jeetain Mittal at Lehigh
University to develop coarse-grained modeling methods for the
cytoskeleton and its interaction with membranes. The position is
funded by NIH and is available for two years.

Candidates with background in biophysics, bioengineering, statistical
physics, soft matter physics, computational physics, or related areas
are encouraged to apply and inquire about career development
possibilities. Lehigh University is located in eastern Pennsylvania,
north of Philadelphia and west of New York City.

For more details and to apply, please contact me at [email protected]

athena.physics.lehigh.edu

11/06/2018

pmmh.spip.espci.fr

One more postdoc position:

https://pmmh.spip.espci.fr/sites/pmmh.spip.espci.fr/IMG/pdf/postdoc_espci_2018.pdf

pmmh.spip.espci.fr

11/06/2018

Post-doc: Modeling vaccination/niche competition in the gut for microbiota engineering

We are looking for a post doctoral researcher to model vaccination and niche competition effects in the gut for microbiota engineering. Antibiotic multi-resistant (AMR) bacteria that frequently inhabit the intestinal tract of humans and livestock are a serious threat. Our recent work demonstrates that intestinal antibodies, raised by inactivated oral vaccines, enforce the targeted strain to undergo "enchained growth", forming large clumps. During the project, a protocol combining vaccination with introduction of a niche competitor, for targeted drug-free removal of an individual bacterial strain from the microbiota of mice, will be developed, and extended to domestic pigs. Combining mathematical models and quantitative dynamic data will provide a solid framework for subsequent large-scale trials and extension to more diverse bacterial species and hosts.

The postdoc will analyze experimental data to extract information about the bacterial populations dynamics. He/she will develop biophysical models of the microbiota dynamics in the gut, integrating immune dynamics and competition, and animal size and physiology. Beyond the direct applications to the experiments of the project, the goal is to gain a better understanding on how the physical conditions in the gut interplay with the microbiota dynamics.

The postdoc will be based in Sorbonne Université, Paris, under the supervision of Claude Loverdo, and the work will be in close collaboration with Emma Slack, ETH Zürich. The postdoc will be integrated to the theory team of the Laboratoire Jean Perrin, a young and dynamic biophysical lab, in the center of Paris. The postdoc duration is 12+ months, start date negotiable from September 2018, with salary according to experience.

The candidate should have a PhD (or have it completed before the start of the position), in physics or a related field, and a strong experience in modeling. Moreover he/she should have a deep interest and possibly a previous experience in biology.

If you are interested please send us a CV and a short email motivating your interest in the position.
Claude Loverdo [email protected]
Emma Slack [email protected]

Most relevant publications:
- K.Moor, M.Diard, M.E.Sellin, B.Felmy, S.Y.Wotzka, A.Toska, E.Bakkaren, M.Arnoldini, F.Bansept, A.Dal Co, T.Voller, A.Minola, B.Fernandez-Rodriguez, G.Agatic, S.Barbieri, L.Piccoli, C.Casiraghi, D.Corti, A.Lanzavecchia, R.R.Regoes, C.Loverdo, R.Stocker, D.R.Brumley, W-D.Hardt, E.Slack. High-avidity IgA protects the intestine by enchaining growing bacteria. Nature 544:498--502 (2017)
- M.Diard, E.Bakkaren, J.K.Cornuault, A.Hausmann, K.Moor, M.E.Sellin, C.Loverdo, A.Aertsen, M.Ackermann, M.De Paepe, E.Slack, W-D.Hardt. Inflammation boosts bacteriophage transfer between Salmonella spp. Science 355:1211--1215 (2017)
- F.Bansept, K.Schumann-Moor, M.Diard, W-D.Hardt, E.Slack, C.Loverdo, Enchained growth and cluster dislocation : a possible mechanism for microbiota homeostasis, bioRxiv:298059

11/06/2018

Postdoctoral Position in the Theory of the Surfaces of Amorphous Materials

School of Chemistry, University of Sydney



A Postdoctoral Position is currently available under the supervision of Professor Peter Harrowell in the School of Chemistry at the University of Sydney to work on the theoretical and computational studies of the morphology and stability of the surfaces of amorphous solids. This project will include the study of dissolution and precipitation processes from these surfaces.

The appointment will be for 2 years and will start by October 2018.

Applicants require a PhD in Chemistry, Physics or a related discipline with proven research experience in statistical mechanics and computer simulation of condensed matter.

Further details can be obtained from Peter Harrowell. Interested applicants should send a CV and the contact details of 3 referees to Peter Harrowell at [email protected].

11/06/2018

Post-doc Researcher “Intra-Urban Forms and Scaling Laws” (ref: SCALE-IT-UP) (m/f)

https://jobs.liser.lu/jobs/detail/post-doc-researcher-intra-urban-forms-and-scaling-laws-ref-scale-it-up-m-f-84

jobs.liser.lu Cities are growing and concentrate an increasing portion of human activities. Understanding the environmental and social impacts of such a trend is of crucial importance to steer urban policy and prepare a more sustainable future. The post-doc researcher will participate in the project SCALE-IT-UP,....

26/03/2018

The Science Behind the Image Contest Winners: Reshaping Vesicles via Deflation

Contest winning science images from my colleague Rumiana Dimova

https://biophysicalsociety.wordpress.com/2018/03/15/the-science-behind-the-image-contest-winners-reshaping-vesicles-via-deflation/

biophysicalsociety.wordpress.com The BPS Art of Science Image Contest took place again this year, during the 62nd Annual Meeting in San Francisco. The image that won third place was submitted by Ziliang Zhao, a postdoc in Rumiana …

20/03/2018

Leibniz Prize awarded to Alessandra Buonanno

http://www.aei.mpg.de/2239073/leibniz-prize-was-awarded-to-alessandra-buonanno

aei.mpg.de The award was presented during a ceremony at the Berlin-Brandenburg Academy of Sciences and Humanities in Berlin. “Alessandra Buonanno's insights into the physics of gravitational waves cut through the fog of space, time, and all-engulfing matter and literally reveal views of Einstein's wildest as...

02/03/2018

Physikerinnen

Physikerin der Woche - Dr. Andrea Grafmüller

Andrea is a group leader at the Max Planck Institute of Colloids and Interfaces / Max Planck Society in Potsdam. Her group works on multiscale simulations of biological and biomimetic molecules. Currently, they are particularly interested in the development of reliable models of biological carbohydrates. The diverse and complex functions of these molecules for cell biology are only just beginning to emerge and open up a multitude of questions related to their molecular interactions and structure-function relationships.

Dr. Andrea Grafmüller's research group: http://www.mpikg.mpg.de/multiscale-modelling



https://www.dpg-physik.de/dpg/gliederung/ak/akc/Publikationen/physikerin_der_woche.html

27/10/2016

Science for Everyone

Age-dependent degradation of proteins in mammalian cells.

In this work, Erik McShane and Matthias Selbach at the Max-Delbrueck-Centrum in Berlin-Buch have collected mass spec data recording the decay of each single protein species in a mice cell line. The idea was that some proteins may have a non-exponential decay pattern as a consequence of their complex life. Our modeling and data analysis has indeed shown that a two-state Markov chain provides a superior fit for more than 10% of proteins, when tested against an exponential fit with the AIC. This percentage is probably a very conservative estimate. According to the model, these proteins become more stable as they age, which means that their age-dependent degradation rate decreases with the age of the molecule (at least within the time scale of the experiment). Possible biochemical and structural explanations for this finding as well as its biomedical consequences are discussed in the manuscript:

Erik McShane, Celine Sin, Henrik Zauber, Jonathan N. Wells, Neysan Donnelly, Xi Wang, Jingyi Hou, Wei Chen, Zuzana Storchova, Joseph A. Marsh, Angelo Valleriani and Matthias Selbach
Kinetic analysis of protein stability reveals age-dependent degradation
Cell 167 (2016) 803–815
http://authors.elsevier.com/a/1Tvrt_278yxw4G

http://www.sciencedirect.com/science/article/pii/S009286741631248X

19/08/2016

A conditional likelihood is required to estimate the selection coefficient in ancient DNA

nature.com

25/06/2016

Science for Everyone

Predict or classify: The deceptive role of time-locking in brain signal classification

There are claims, based on neurological signal analysis, according to which it is possible to predict simple decisions related to movement before a subject is conscious of his/her decision. In an experimental study, time-series of brain signals were collected during a decision-taking task consisting of pressing either the left or the right button. The time-series were later analyzed via machine learning techniques. The machine was first instructed to learn which brain signals anticipate the future decision (i.e. left or the right button). Then the machine found out that such anticipatory signals are present almost ten seconds before the end of the time-series. The time of decision as reported by the subjects was instead a few hundreds of milliseconds before the end of the time-series. In our paper, we show that also rather trivial time-series produced with a 1-dimensional random walk give signals "predictive" of the future outcome when analyzed with the very same machine learning technique as in the experimental paper. The interesting part is that our random walk time-series are constructed in such a way that it should be impossible to make any prediction significantly larger than chance. In our paper then we use information theory to show that the machine learning technique is able to correctly classify because it implicitly knows the duration of the time-series. The mechanism that provides the information about the duration of the time-series is time-locking, i.e. locking the time-series to the end of the series. The information about the duration of the time-series can come only from an observer who has seen the entire series until the end. Thus, formally it comes from the future with respect to the time-point at which the machine is able to produce a significant classification. Unfortunately, many studies concerned with predicting conscious decisions apply the time-locking procedure to their time-series. In our paper, nevertheless, we show that the time course of the classification accuracy may contain valuable information about the structure of the underlying neural network.

Read more in:
Marco Rusconi and Angelo Valleriani
Predict or classify: The deceptive role of time-locking in brain signal classification
Scientific Reports 6, 28236 (2016)
http://www.nature.com/articles/srep28236

01/06/2016

Kinetics of formation of bile salt micelles from coarse-grained Langevin dynamics simulations -...

The physical-chemistry of digesting fats

Fats are indispensable for health: humans need to have some amount of fat in their diet, otherwise things go awry. But, take a bottle with some water, and pour some olive oil inside. Shake hard. You’ll soon form a lot of small droplets of fat in the water (a dispersion), but the droplets won’t live long. As soon as you stop shaking, the oil droplets will merge with each other, and in a short time you’ll again see the oil and the water as two distinct layers, or phases. This separation of oil and water phases is a challenge for the absorption of fats by the digestive system: to absorb fats, the body must break up the oil into small droplets that are stable and get absorbed by the intestine.

To stabilize the small oil droplets, the body combines the oil with bile, which is a liquid produced in our liver. Although we know a lot about the bile, we still don’t know exactly how it helps forming and stabilizing the small oil droplets. To understand it we have used computer simulations where small groups of atoms are represented by a single particle and where we can follow the motion of hundreds of bile salt molecules as a function of time. We find that pure bile salts form small droplets, and are able to escape from these droplets much faster than other types of molecules with a similar function. This ability to escape quickly should be important for digestion of oils with very low ability to mix with water: single bile molecules should be able to cover a large oil droplet, from which then small droplets covered with bile form and are released.

For the ins-and-outs of this study, see:
Kinetics of formation of bile salt micelles from coarse-grained Langevin dynamics simulations
Ana Vila Verde and Daan Frenkel
Soft Matter, 2016, Advance Article
http://pubs.rsc.org/en/content/articlelanding/2016/sm/c6sm00763e #!divAbstract
DOI: 10.1039/C6SM00763E (open access)

(Text and cartoon provided by Ana Vila Verde)

pubs.rsc.org We examine the mechanism of formation of micelles of dihydroxy bile salts using a coarse-grained, implicit solvent model and Langevin dynamics simulations. We find that bile salt micelles primarily form via addition and removal of monomers, similarly to surfactants with typical head–tail molecular s...

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