Complex Systems Studies

Happy to announce that the @HarvardGrwthLab will be teaching a summer PhD-level course on the methods of economic complexity analysis at two prestigious Swiss universities. Registrations are open now. Read on. Interested in learning more about the economic complexity paradigm? The Growth Lab team is very excited to give an online summer school at the @ZHAW / @unil in June 2021. Learn more and register today. https://t.co/Bn0EASTw7q @sml_zhaw

Real life #networks have #loops, and that means #recursion. Whether passing notes or infections, messages don't just wash across a graph. They swirl and eddy. On a new paper in @ScienceAdvances co-authored by SFI's George Cantwell and Mark Newman: https://t.co/b7sglS1qsw #Ising

استخدام دانشمند داده در شرکت پارتیکل‌بی https://www.linkedin.com/feed/update/urn:li:activity:6793066854865887233

"Stability of democracies: a complex systems perspective" More at https://t.co/ghhQwZSohL

Sell yourself and your science in a compelling personal statement https://www.nature.com/articles/d41586-021-01101-z

برای این‌که در آینده سیستم‌پیچیده‌دان بشیم باید در هر مقطعی از عمرمون چیکار کنیم؟! 🔻 اگر دبیرستانی هستین این ویدیو رو ببینید: 🎞 bit.ly/3eBBx0t 🔻 اگر دانشجو هستین اطلاعات بیشتری اینجا هست: 🔗 complexity.sitpor.org ~~~~~~~~~ @sitpor #سیتپـــــور ‌INSTAGRAM: Sitpor_media ~~~~~~~~~

What is #complexity? Wiesner will provide a compact but comprehensive overview of the different ways that systems can be complex, offering an aggregate definition. She will discuss the role of complexity measures, and why complexity cannot be captured by a single number. https://t.co/nHvi800cwW

Introduction to Computer Science and Programming in Python. From MIT. For free. For those who are looking for a more structured approach to learn Computer Science and Python, you get: • Video Lectures • Interactive Assessments • Assignments https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/

💰#Postdoc - Machine Learning, Signal Processing University of Oulu, Finland, Oulu Applications are invited for a Doctoral Student position to join a research project headed by Professor Guoying Zhao in the Center for Machine Vision and Signal Analysis Research Unit (CMVS, oulu.fi/cmvs), to work on: Spontaneous facial expression analysis Remote physiological signal measure from video analysis Multi-modal learning. https://akatech.tech/announcement,a722.html

#PhD positions: 💰Doctoral in Applied and Computational Mathematics - KTH Royal Institute of Technology in Stockholm 💰PhD position in Plasma Instability Identification through Machine Learning - PIIM (Physique des Interactions Ioniques et Moléculaires), Avenue Escadrille Normandie Niemen, 13013 Marseille, in close collaboration with ITER-IO. 💰PhD Researcher in Linguistics and Artificial Intelligence - KU Leuven, Belgium, Leuven

What are higher-order networks? If you have ever asked yourself this question, have a look at our new preprint https://t.co/t0QLGBEUG3

Chaotic dynamics along the Lorenz attractor Video on reduction to a 1D map, the Lorenz map https://t.co/FPUJ0sbSyM #ChaosTheory #Fractals #chaos #mathart #DynamicalSystems #NonlinearDynamics #LorenzAttractor #math #maths #manifold

نظریه اطلاعات و شبکه های پیچیده افتخار داشتم به دعوت دکتر عبدالله پوری عزیز در مورد جنبه هایی از کارم با اساتید عزیز و دانشجویان دانشگاه کردستان و سایر عزیزانی که شرکت کردند صحبت کنم. تخصص بیشتر حاضرین کامپیوتر بود، برای همین جنبه های فیزیکی کار رُ گذرا گفتم و رسیدم به کاربرد ها. یک بار دیگه ممنونم از دکتر عبدالله پوری و سایر اساتید و عزیزان خودم که به من گوش کردند. ضمنا خستگی صدای من به خاطر صبحونه نخوردنه. :) مخلص @physics_daily 5/اردیبهشت/1400

How Maxwell’s Demon Continues to Startle Scientists The thorny thought experiment has been turned into a real experiment — one that physicists use to probe the physics of information. https://www.quantamagazine.org/how-maxwells-demon-continues-to-startle-scientists-20210422/

💰#PhD position (m/f/d; E13 TV-L, 80%) in Compositional Data Synthesis Bosch Industry-on-Campus Lab, University of Tübingen and Bosch Center for AI (BCAI) The aim of this project is to learn how to synthesize new, previously unseen visual scenes through object compositionality. A bias to account for the compositional way in which humans structure a visual scene in terms of objects has frequently been overlooked. In this project, you will investigate object compositionality as an inductive bias for deep generative models, such as generative adversarial networks (GANs). Specifically, you will focus on how to generate novel unseen compositions of objects present in the training set. You will be jointly supervised by Prof. Dr. Zeynep Akata from the University of Tübingen side and Dr. Anna Khoreva from the Bosch side. The position is available immediately (but start date is negotiable), the contract is initially for three years, and remunerated according to the German salary scale 13 TVL. https://facultyvacancies.com/phd-position-in-compositional-data-synthesis,i19854.html

💰#PhD Position in Neuro-Bioinformatics for Central Nervous System Repair Catholic University of Leuven https://facultyvacancies.com/phd-position-in-neuro-bioinformatics-for-central-nervous-system-repair,i19002.html

💰Doctoral student in Computational Neuroscience #phd in School of Electrical Engineering and Computer Science at KTH https://facultyvacancies.com/doctoral-position-in-computational-neuroscience,i19433.html Neuromodulators are crucial for the brain function and while the effect of neuromodulation is relatively well studied, little is known about how neuromodulators affect the network activity dynamics. In this project we want to quantify the effects of neuromodulators on neuron/synapse properties and network structure and dynamics. The doctoral student will be part of Dr. Kumar's research group. The research group uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. The research in the Kumar lab is aimed at understading: The role of oscillations and correlations in communication between different brain areas [e.g. see Hahn et al. Nature Rev. Neurosci. 2019] Control of brain activity dynamics [e.g. see Vlachos et al. PloS Comp Bio 2016] Interaction between neuron properties and network activity dynamics [Sahasranamam et al. Sci. Reports 2015, Spreizer et al. PloS Comp Bio 2010, Hahn et al. 2020] Neural coding [e.g. Tauffer and Kumar 2020]. The research group is also developing mathematical models of brain diseases to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in brain diseases. More info.: https://www.kth.se/profile/arvindku/ Supervision: The doctoral student will be supervised by: Dr. Arvind Kumar

💉 #COVID19 good news 👏 A study analysing 373,402 participants finds COVID-19 infections fell significantly after a single dose of the #OxfordVaccine or Pfizer jab. More info ⬇️ https://www.ox.ac.uk/news/2021-04-23-significant-reductions-covid-19-infections-found-after-single-dose-oxford

May 3, 2021 Submission deadline May 10, 2021 Notification May 17, 2021 Camera Ready Copy Fund waivers are available for students from developing countries who are not able to pay for the conference. Contact Fariba Karimi: karimi@csh.ac.at https://websci21.webscience.org/call-for-phd-symposium