Complex Systems Studies
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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
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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
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.
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.
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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/
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
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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
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/

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@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
Multiple open #PhD/#Postdoc/Intern positions at the Data-Intensive System group at Aalto University

https://zbjob.github.io/vacancies
#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)
#Postdoc The Postdoctoral Researcher will be responsible for designing and conducting innovative analyses of video interactions between autistic pairs, non-autistic pairs, and pairs of autistic and non-autistic people. This is part of an interactional collaborative study with data collected from the UK and US. The Postdoctoral Researcher will also contribute to dissemination of results at conferences and in journal publications.

https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/8280/?keyword=salvesen+mindroom+research+centre&mode=location