The Departments of Mathematics and Statistics at UCLA are now advertising a 3-year postdoctoral position in Social Justice and Data Science!

The application deadline is 31 Dec: https://recruit.apo.ucla.edu/JPF06005

💰 We have openings for Master’s and #PhD students to start in Fall 2021. If you are passionate about studying online social data, applying machine learning and data science to societal problems, and computational social science more generally, you should apply. We are looking for candidates with potential for research excellence. If you’re interested, apply to the Department of Computer Science at University of Toronto and list Ashton Anderson as a potential supervisor.

💥 The deadline for applying is 3 December 2020, 23:59 Toronto time.

http://csslab.cs.toronto.edu/

Quantum programming languages

https://www.nature.com/articles/s42254-020-00245-7

💰 Our lab has openings for #PhD students and postdocs; if you are interested in interfacial flows, pattern formation, and soft matter, feel free to reach out via email; the application deadline is Dec. 15th (https://t.co/gGoqHjvxX0)

When Will an Elevator Arrive?
Zhijie Feng, S. Redner

Download PDF

We present and analyze a minimalist model for the vertical transport of people in a tall building by elevators. We focus on start-of-day operation in which people arrive at the ground floor of the building at a fixed rate. When an elevator arrives on the ground floor, passengers enter until the elevator capacity is reached, and then they are transported to their destination floors. We determine the distribution of times that each person waits until an elevator arrives, the number of people waiting for elevators, and transition to synchrony for multiple elevators when the arrival rate of people is sufficiently large. We validate many of our predictions by event-driven simulations.

🦠 lockdown effects on mobility in Germany.

COVID-19 lockdown induces disease-mitigating structural changes in mobility networks


https://t.co/oSIjgwde8n

Finally an easy-to-use, extensive and fast Graph Neural Network library in JAX! Fully compatible with NN libraries such as Flax and Haiku: https://t.co/olZPD5DEz0

🦠 This scientist sees a way to spot the next pandemic

https://t.co/ugYjDSB0Go

Jupyter Book has a gallery! Go find some inspiration here:

https://t.co/zCXso00S2i

or suggest an addition here:

https://t.co/yy4Y6ByJTH

💉 How Moderna’s Vaccine Works?!

Read this for an example of good science communication. Clear words, simple sentences, coherently organized, and well tied to minimalist graphics appearing in just the right places.

https://t.co/SKLZtx3Bnb

روزهای سختی است. رفت و آمدها رو تا جایی که میشه کم کنیم و فقط برای ضرورت معاشرت کنیم.

💰 Interested in combining deep learning and epidemiology? We have an interesting opening for a #PhD candidate in the group of @jaakkolehtinen @AaltoUniversity @FCAI_fi. This is a joint position together with the group of @andganna at @FIMM_UH. Please share! https://t.co/3BWm31qDSF

Few scientists are trained in how to write a review — here are some tips:

https://www.nature.com/articles/d41586-020-03422-x

💉 UK hospitals start vaccinating tomorrow

Doses of the Pfizer—BioNTech vaccine have begun to arrive in UK hospitals after it received emergency authorization last week. The first shots will be given to people over age 80, starting tomorrow. Care-home residents had been designated as a top priority to receive the jab, but health authorities are still exploring how to distribute the vaccine outside hospitals because it comes in deep-frozen packs containing 975 doses that must be stored at –70 ℃ .

Degree difference: a simple measure to characterize structural heterogeneity in complex networks

Amirhossein Farzam, Areejit Samal & Jürgen Jost

https://www.nature.com/articles/s41598-020-78336-9

Abstract
Despite the growing interest in characterizing the local geometry leading to the global topology of networks, our understanding of the local structure of complex networks, especially real-world networks, is still incomplete. Here, we analyze a simple, elegant yet underexplored measure, ‘degree difference’ (DD) between vertices of an edge, to understand the local network geometry. We describe the connection between DD and global assortativity of the network from both formal and conceptual perspective, and show that DD can reveal structural properties that are not obtained from other such measures in network science. Typically, edges with different DD play different structural roles and the DD distribution is an important network signature. Notably, DD is the basic unit of assortativity. We provide an explanation as to why DD can characterize structural heterogeneity in mixing patterns unlike global assortativity and local node assortativity. By analyzing synthetic and real networks, we show that DD distribution can be used to distinguish between different types of networks including those networks that cannot be easily distinguished using degree sequence and global assortativity. Moreover, we show DD to be an indicator for topological robustness of scale-free networks. Overall, DD is a local measure that is simple to define, easy to evaluate, and that reveals structural properties of networks not readily seen from other measures.

💉 https://theguardian.com/commentisfree/2020/dec/03/the-covid-vaccine-trust-safe-works-political

🧶 تمدید مهلت ارسال مقاله به یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستم‌های پیچیده ۱۳۹۹

یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستم‌های پیچیده که قرار بود فروردین ماه ۱۳۹۹ برگزار شود و به منظور پیشگیری از انتشار ویروس کرونا به تعویق افتاد. ۱ و ۲ بهمن ماه ۱۳۹۹ با همکاری دانشگاه شهیدبهشتی و به صورت برخط (Online) برگزار خواهد شد.

بنابراین مهلت ارسال مقاله تا ۱۰ دی ماه تمدید شد.

اطلاعات بیشتر در نشانی زیر:
www.psi.ir/f/smc99

@ccnsd