💰 Two #PhD positions in design and optimization of robust deep neural networks in safety-critical applications

Ref.nr: 2020/1317

At Mälardalen University people meet who want to develop themselves and the future. Our 16 000 students read courses and study programmes in Business, Health, Engineering and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälaren with campuses in Eskilstuna and Västerås.

https://web103.reachmee.com/ext/I018/1151/job?site=6&lang=SE&validator=b794921ef43b510ae6e5f2dee2761c1b&job_id=886

💡 "The concept of velocity in the history of Brownian motion — From physics to mathematics and vice versa" (by Arthur Genthon):

https://arxiv.org/pdf/2006.05399

Brownian motion is a complex object shared by different communities: first observed by the botanist Robert Brown in 1827, then theorised by physicists in the 1900s, and eventually modelled by mathematicians from the 1920s. Consequently, it is now ambiguously referring to the natural phenomenon but also to the theories accounting for it. There is no published work telling its entire history from its discovery until today, but rather partial histories either from 1827 to Perrin's experiments in the late 1900s, from a physicist's point of view; or from the 1920s from a mathematician's point of view. In this article, we tackle a period straddling the two `half-histories' just mentioned, in order to highlight its continuity, to question the relationship between physics and mathematics, and to remove the ambiguities mentioned above. We study the works of Einstein, Smoluchowski, Langevin, Wiener, Ornstein and Uhlenbeck from 1905 to 1934 as well as experimental results, through the concept of Brownian velocity. We show how Brownian motion became a research topic for the mathematician Wiener in the 1920s, why his model was an idealization of physical reality, what Ornstein and Uhlenbeck added to Einstein's results and how Wiener, Ornstein and Uhlenbeck developed in parallel contradictory theories concerning Brownian velocity.

امروز ساعت ۶/۵ به وقت تهران‌

11 June - Manlio de Domenico, CoMuNe Lab, Fondazione Bruno Kessler

"Tackling complexity: foundations and appplications."

Link del webinar: https://eu.bbcollab.com/guest/995d03a3a751431fbc3f4999aa88e8b7

The concept of velocity in the history of Brownian motion
From physics to mathematics and vice versa

📺 Seminar by Andrea Cavagna (ISC-CNR, Rome)
Spontaneously breaking a continuous symmetry in statistical field theory and in biological systems

https://unito.webex.com/recordingservice/sites/unito/recording/playback/3fb289f8d46b4164b3b63fa6dc2e4fea

💰 Next Step Fellowships at the Max Planck institute for the Physics of Complex Systems, Dresden, Germany

As a reaction to the disruption of the careers of young scientists due to restrictions on the global scientific exchange resulting from the covid19 pandemic, the Max Planck institute for the Physics of Complex Systems is currently offering several next step fellowships for young researchers who have just completed or are about to finish their MSc, doctoral or post-doctoral position in Europe and were planning to move to a position outside of Europe, but are at the moment unable to do so.
The detailed advertisement can be found here:

https://www.mpipks-dresden.mpg.de/fileadmin/user_upload/MPIPKS/Contact/Work_with_us/Next_Step_Ad_EU.pdf

💰 #Postdoc Fellow position within the SoBigData++ project at the Department of Network and Data Science at Central European University (DNDS at CEU, Vienna).

Research theme: socioeconomic inequalities, mobility, social networks. This is data-driven research. CEU is an equal opportunity employer. Women and members of minorities are encouraged to apply. Under the supervision of M. Karsai ([email protected]) and J. Kertész ([email protected]) in the Computational Human Dynamics team. Review of the applications starts June 30th and continues until the position is filled.

Starting date: September 1, 2020.

https://www.ceu.edu/job/postdoctoral-fellow-socioeconomic-patterns-network-formation-and-mobility

پیش از این نوشته‌ای منتشر کردم در مورد کتاب فرمول موفقیت باراباشی:
نگاهی به کتاب «فرمول: قوانین جهان‌شمول موفقیت» باراباشی

در پادکست بی‌پلاس، علی بندری خلاصه این کتاب رو تعریف کرد و شما می‌تونید با رفتن به این نشانی این پادکست رو گوش بدین.

اگه با پادکست بی‌پلاس آشنا نیستین، شاید یکی از بهترین‌ زمان‌ها باشه که سراغش برین! توی بی‌پلاس خلاصه کتاب تعریف می‌کنند. این‌جوری که یه کتاب رو بعد از سبک سنگین‌ کردن‌های مختلف انتخابش می‌کنند، حسابی مطالعه‌ش می‌کنند و بعد برای شما ایده‌های اصلیش رو می‌گن که بتونید حسی پیدا کنید در مورد محتوای اون کتاب! خلاصه که از طریق پادگیرهای مختلف خوبه که این پادکست رو گوش کنید. همین‌طور می‌تونید عضو خبرنامه بی‌پلاس بشین و در مورد هر کتاب و نویسنده‌ش، اطلاعات بیشتری کسب کنید.

مثلا در خبرنامه‌ای که این هفته منتشر شد، می‌تونید در مورد کتاب فرمول موفقیت باراباشی و علم شبکه بیشتر بخونید!

💡 "Does Tweeting Improve Citations? One-Year Results from the TSSMN Prospective Randomized Trial"

https://t.co/mHCRZFb2oW

(The answer is "yes", contradicting Betteridge's law.)

📺 https://youtu.be/81h27IdKHoE

FREE summer lecture series! 😱 Join this free and open to the public lecture series where faculty share their perspective on the COVID-19 pandemic.

https://t.co/AU3goKxBXX

ICME Fundamentals of Data Science summer workshops will be offered online this year from August 17-22, 2020. These one-day workshops cover a wide range of topics, from Machine Learning to Programming in Python. For more information, please visit https://t.co/Uo93Uc1INU

Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis, by Roland Molontay and Marcell Nagy https://t.co/ABb7Ra7UC1. The authors define a "network scientist" as someone who has published at least 1 paper that cites at least 1 of the following 3 papers https://t.co/9pySMQh72j

شبیه‌سازی بازی مار و پله در پایتون:

https://jakevdp.github.io/blog/2017/12/18/simulating-chutes-and-ladders/

شبیه سازی آشوب در آونگ سه‌گانه با پایتون:

Triple Pendulum CHAOS!
https://jakevdp.github.io/blog/2017/03/08/triple-pendulum-chaos/

Frequentism and Bayesianism:

5-part series: Part I, Part II, Part III, Part IV, Part V
See also Frequentism and Bayesianism: A Python-driven Primer, a peer-reviewed article partially based on this content.

Conway's Game of Life in Python

In 1970 the British Mathematician John Conway created his "Game of Life" -- a set of rules that mimics the chaotic yet patterned growth of a colony of biological organisms. The "game" takes place on a two-dimensional grid consisting of "living" and "dead" cells, and the rules to step from generation to generation are simple.

I was thinking about classic problems that could be used to demonstrate the effectiveness of Python for computing and visualizing dynamic phenomena, and thought back to a high school course I took where we had an assignment to implement a Game Of Life computation in C++. If only I'd had access to IPython and associated tools back then, my homework assignment would have been a whole lot easier!

Here I'll use Python and NumPy to compute generational steps for the game of life, and use my JSAnimation package to animate the results.

https://jakevdp.github.io/blog/2013/08/07/conways-game-of-life/