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Complex Systems Studies

Complex Systems Studies

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What's up in Complexity Science?! Check out here: @ComplexSys #complexity #complex_systems #networks #network_science 📨 Contact us: @carimi

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#PhD student in Network Science - brand new London hub of the Network Science Institute - the job call will be out soon for both UK and international applicants - get in touch for more info (iacopo.iacopini@nulondon.ac. uk)

We have an open position for a #phd candidate / doctoral researcher at the Computational Social Science Department in Cologne, Germany: https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/33721/Doctoral-Researcher-in-Computational-Social-Science

Join our ERC project "INTERACT - The interplay of neural networks enabling social interaction" as #PhD student or #PostDoc. https://tu-dresden.de/mn/psychologie/ikpp/klipsy/die-professur/mitarbeit-offene-stellen

Multiple open #PhD/#Postdoc/Intern positions at the Data-Intensive System group at Aalto University https://zbjob.github.io/vacancies

بحران در فیزیک با شان کرول دنیای این روزهای علم، قسمت ۳ شان کرول پادکست معروفی داره که معمولا با آدم‌های سرشناس حوزه‌های مختلف علم صحبت می‌کنه. به تازگی در یک قسمت نسبتا طولانی چهار ساعته بدون مهمان خاصی، راجع به بحران در فیزیک حرف زده. ممکنه این روزها ببینید یا بشنوید که بحرانی در فیزیک هست یا سرعت رشد فیزیک در حال کاهشه. خصوصا اگه اطراف فیزیکدونای انرژی بالا و ذراتی‌ها بوده باشین. قصد من از این نوشته این نیست که به این بپردازم که بحرانی که در موردش صحبت میشه دقیقا چیه و چرا این حرف زده میشه. چون با یک جست‌وجوی ساده می‌تونید ببینید مردم چرا این حرف رو می‌زنن. سوای این، شان کرول خودش ابتدای این قسمت از پادکستش این مسئله رو مطرح می‌کنه و به ابعاد مختلفش می‌پردازه و می‌گه که به چه دلایلی چه کسایی فکر می‌کنن که فیزیک در بحرانه. بعدش هم در چهار ساعت سعی می‌کنه که پاسخ معقولی به این پرسش بده که اصلا بحرانی داریم یا نه؟! قصد من از این نوشته پرداختن به یک ساعت آخر حرفای کروله که به فضای حرفه‌ای علم می‌پردازه. به این که بالاخره علم توسط آدم‌ها انجام میشه و احساسات افراد و رقابت‌های شغلی در داوری‌هاشون اثر می‌ذاره و هر چیزی که تا به امروز انجام شده ماحصل همه ایده‌هاییه که زمانی معقول و زمانی نامعقول شمرده میشدن. در ادامه بخش‌هایی از حرفای کرول رو می‌ذارم و در مورد نکاتی که به نظرم مهمه که دانشجوهای دکتری و تازه واردها به پژوهش بدونن کمی می‌نویسم. 🔗 sitpor.org/2023/09/science-today-3-the-crisis-in-physics/ ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم

A fantastic collection celebrating the reach that Spin Glass Theory had in the past 40 years: https://dissyskcl.github.io/news/rsb40/

The University of Helsinki doctoral programmes invite applications for doctoral researchers starting from 1 January 2024 for a 1–4 year period. The university's doctoral researchers, supervised by top-class researchers, carry out their research as part of an international academic community. #phd https://jobs.helsinki.fi/job/Helsinki-Doctoral-Programme-Brain-&-Mind-salaried-doctoral-researcher-positions/777348702

The Women in Network Science (WiNS) seminar is an interdisciplinary seminar with the aim to promote and showcase research by
The Women in Network Science (WiNS) seminar is an interdisciplinary seminar with the aim to promote and showcase research by women and nonbinary researchers in network science. https://sites.google.com/view/womeninnetworkscience/virtual-programs/seminars

I am recruiting full-funded #PhD students and #postdocs at NYU Tandon from Fall 2024! If you are interested, please check out this flyer and reach out to me at takahiroyabe@nyu.edu. https://www.takayabe.net/

#PhD position in a project Modelling of virus-borne diseases with focus on reproductive numbers and control measures https://www.finn.no/job/fulltime/ad.html?finnkode=315295334

A fully funded #PhD. position to study the development of interneurons is available https://www.jobbnorge.no/en/available-job
A fully funded #PhD. position to study the development of interneurons is available https://www.jobbnorge.no/en/available-jobs/job/247079/phd-candidate-within-developmental-neuroscience Deadline: September 30 Starting date: by the end of 2023.

Physicists and the first computing revolution https://www.nature.com/articles/s42254-023-00614-y The noteworthy role physicists played in the computing revolutions triggered by the invention of the transistor, or the World Wide Web, is well known. But less so is their influential part in the early days of computing. This is the account of how physics and computing started a long-lasting affair — a story with unexpected parallels with the current revolution in AI.

Stanford CS229: Machine Learning I Spring 2022 This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practical advice); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. View the course website: https://cs229.stanford.edu/syllabus-spring2022.html

Quantum computing for finance https://www.nature.com/articles/s42254-023-00603-1 Quantum computers are expected to surpass the computational capabilities of classical computers and have a transformative impact on numerous industry sectors. We present a comprehensive summary of the state of the art of quantum computing for financial applications, with particular emphasis on stochastic modelling, optimization and machine learning. This Review is aimed at physicists, so it outlines the classical techniques used by the financial industry and discusses the potential advantages and limitations of quantum techniques. Finally, we look at the challenges that physicists could help tackle

An introduction to graph theory Darij Grinberg https://arxiv.org/abs/2308.04512 This is a graduate-level introduction to graph theory, corresponding to a quarter-long course. It covers simple graphs, multigraphs as well as their directed analogues, and more restrictive classes such as tournaments, trees and arborescences. Among the features discussed are Eulerian circuits, Hamiltonian cycles, spanning trees, the matrix-tree and BEST theorems, proper colorings, Turan's theorem, bipartite matching and the Menger and Gallai--Milgram theorems. The basics of network flows are introduced in order to prove Hall's marriage theorem. Around a hundred exercises are included (without solutions).

Do you have a MSc degree in physics and a strong interest in pursuing a #PhD in soft matter physics? Have a look at this doctoral researcher position in https://www.aalto.fi/en/open-positions/doctoral-researcher-for-experiments-in-swimming-and-swarming-dynamics-of-living-organisms