💰 Our website now has a "Positions" page, currently with 2 open calls at @ITUkbh:
1) #PhD Open Call 2021,
2) Asst./Assoc. Professor in data science and machine learning. Apply and do exciting research with us!


https://t.co/6tDJ38Hja0

A new, real-world Israeli study shows the Pfizer-BioNTech vaccine is almost 90% effective at stopping COVID-19 transmission (not just symptoms) https://t.co/DND4pzz2ga

💰 #Postdoc or RA (Paris, France)
Agent based modelling COVID-19 outbreak analysis
with @chpoletto and Pierre-Yves Boëlle
at @INSERM @MedecineSU @iplesp
More details: https://t.co/Uf34Vxz5gb

Applied Data Science for Policy Research
Special Course in Complex Systems - 16.03.2021-28.05.2021

https://mycourses.aalto.fi/course/view.php?id=30748

Course Denoscription
This is an applied data science course where students will learn how to collaborate with domain experts. With the complexity of today’s policy issues as well as the increasing availability of rich but messy data, there is demand for researchers who are skilled in data science and quantitative approaches to studying complex systems. Cross-domain communication is key to successful collaboration, but it is a difficult and often missed part of data science training. In this course, students will take a hands-on approach to learning these skills by working as data scientists on policy research teams. We will specifically be working with social science and policy researchers studying climate governance, but the skills learned should be broadly applicable to research scenarios in the public, academic, and private sectors. The domain experts will be social science students from the University of Helsinki enrolled in a companion course on climate governance.

Tune in Wednesday, Feb. 24 at 11 am (BRT time) at https://t.co/xgP5EtRry4 for the third colloquium series of Physics Discussions presented by Prof. Steven Strogatz (Cornell University).

Introduction to Mathematical Economics
Matteo Marsili, The Abdus Salam ICTP

https://sites.google.com/view/marsili-mathecon/home

How do #dataScience and #neuroscience intersect?

From 9am GMT 25/02

https://t.co/uUdEJX6xhw

"Three Ways to Solve Partial Differential Equations with Neural Networks — A Review" (by Jan Blechschmidt, Oliver G. Ernst): https://t.co/Z9BlZw2uwa

"The article is accompanied by a suite of expository software in the form of Jupyter notebooks"

Julia! Who is using it? What are you doing with it? Who is interested in learning it? Any good link to share?

https://julialang.org/learning/mooc/

PhD students: Apply for the Microsoft Research Dissertation Grant. The grant aims to increase the pipeline of diverse talent receiving advanced degrees in computing-related fields. Proposals & letters of recommendation due 12PM PDT on 3/22/21. More info: https://t.co/DFhfNmBaWo

💉 Why COVID vaccines are so difficult to compare

https://www.nature.com/articles/d41586-021-00409-0

Superspreading drives the COVID pandemic — and could help to tame it

https://www.nature.com/articles/d41586-021-00460-x

✅انجمن علمی فیزیک دانشگاه صنعتی اصفهان برگزار می‌کند:

🔺شبکه های پیچیده: از مدل سازی تا کاربرد

👤 مدرس: دکتر کیوان آقابابایی سامانی (دانشگاه صنعتی اصفهان)

📚سرفصل مطالب کارگاه:
۱. معرفی ویژگی‌ها و ابزارهای مطالعه‌ی شبکه‌های پیچیده در سه سطح میکروسکوپیک، مزوسکوپیک و ماکروسکوپیک
۲. مدل‌های شبکه‌های پیچیده
۳. کاربرد شبکه‌های پیچیده در حوزه‌های مختلف مانند فیزیک، زیست‌شناسی، علوم اجتماعی و علوم شناختی

⌛️زمان: ۱۳، ۱۹ و ۲۷ اسفند‌ماه ساعت ۱۷


🌐تارنمای جلسه:

https://meet.iut.ac.ir/b/far-8wb-znl-8uw

برای اطلاعات بیشتر با خانم توفیقی در ارتباط باشید:
@thisisshahrzad

Registration is now open for the Beyond Annual Lecture! "What is Life?" will be given by Paul Nurse on March 24th at 1pm MST. The event will also include a panel discussion after the lecture with leading researchers from ASU.

Register here

What are Sloppy Models?
http://www.lassp.cornell.edu/sethna/Sloppy/WhatAreSloppyModels.html

🎞 https://youtu.be/BNW7_tuM4fU

💰 At Oxford, we are hiring one #Postdoc (up to 36 months, 3years!) and one Research Assistant (24 months) to work on the spatial dynamics of infectious diseases (incl. COVID-19).

https://t.co/J6upIfewVd

'What does big data tell us about the spread of COVID in Hungary?' is a live webinar hosted by lecturers of the Quantitative Social Sciences bachelor's degree that will launch in September 2021 at Central European University. The webinar is open to students interested in this BA degree and will be followed by a Q and A session.

To attend this webinar, please register first:
https://ceu-edu.zoom.us/meeting/register/tJApf-ivqTgjHNPjZI23NcwEf2SLDGr1GnMY

Tuesday, March 2, 2021, 12:00 pm – 1:00 pm
Speaker
Márton Karsai
Júlia Koltai

100 years ago, George Pólya proved that if you take a random walk in 2D, you have 100% probability of eventually returning to the origin. But in 3D, you will most likely never return. In this video, I go over some intuition behind this surprising result.

https://t.co/1IW0Ce4er0

💰 A #postdoc in social networks and information flow. Data science, machine learning, and mathematical modelling. All at the beautiful, COVID-free @UniofAdelaide!

https://t.co/CLMFdvYud5

The #Hopf bifurcation describes the birth of a limit cycle. See this and other animated demos at the #BrainDynamicsToolbox Gallery of models. https://t.co/4uEmJccM5U