#Postdoc (Bioinformatics/Data Science) in data-driven protein-protein interaction research at Department of Drug Design and Pharmacology
https://jobportal.ku.dk/videnskabelige-stillinger/?show=164645
https://jobportal.ku.dk/videnskabelige-stillinger/?show=164645
jobportal.ku.dk
Videnskabelige stillinger
#Postdoc Research Assistant in Machine Learning
Statistics, 24-29 St Giles’, Oxford, OX1 3LB
We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth.
The post holder will undertake innovative research as part of the RainML Lab (https://www.rainml.uk/) towards the goals of the DataAcq project. In particular, the post holder will be expected to undertake research related to one or more of the three work packages of the project: a) scalable and robust Bayesian experimental design, b) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models).
The successful postholder will hold or be close to the completion of a PhD/DPhil in Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine learning, deep learning, experimental design, active learning, generative modelling, computational statistics, reinforcement learning, or Bayesian optimisation. This must include the ability to develop and/or analyse new methodology. Proficiency in the use of PyTorch, Tensorflow, Jax, or an equivalent deep learning library is desirable.
We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, and the contact details of two referees as part of your online application. Please note that applicants are responsible for contacting their referees and making sure that their letters are sent to hr@stats.ox.ac.uk directly by the closing date.
Please direct informal enquiries about the post to Professor Tom Rainforth rainforth@stats.ox.ac.uk, quoting vacancy reference 181060.
Only applications received before 12.00 noon UK time on 03 September 2025 can be considered. Interviews are anticipated to be held on 24 September 2025.
Link: https://www.jobs.ac.uk/job/DOC113/postdoctoral-research-assistant-in-machine-learning
Statistics, 24-29 St Giles’, Oxford, OX1 3LB
We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth.
The post holder will undertake innovative research as part of the RainML Lab (https://www.rainml.uk/) towards the goals of the DataAcq project. In particular, the post holder will be expected to undertake research related to one or more of the three work packages of the project: a) scalable and robust Bayesian experimental design, b) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models).
The successful postholder will hold or be close to the completion of a PhD/DPhil in Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the ability to contribute ideas for new research projects and research income generation. Previous research experience in one or more areas relevant to the research programme. For example: probabilistic machine learning, deep learning, experimental design, active learning, generative modelling, computational statistics, reinforcement learning, or Bayesian optimisation. This must include the ability to develop and/or analyse new methodology. Proficiency in the use of PyTorch, Tensorflow, Jax, or an equivalent deep learning library is desirable.
We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, and the contact details of two referees as part of your online application. Please note that applicants are responsible for contacting their referees and making sure that their letters are sent to hr@stats.ox.ac.uk directly by the closing date.
Please direct informal enquiries about the post to Professor Tom Rainforth rainforth@stats.ox.ac.uk, quoting vacancy reference 181060.
Only applications received before 12.00 noon UK time on 03 September 2025 can be considered. Interviews are anticipated to be held on 24 September 2025.
Link: https://www.jobs.ac.uk/job/DOC113/postdoctoral-research-assistant-in-machine-learning
Jobs.ac.uk
Postdoctoral Research Assistant in Machine Learning at University of Oxford
Discover an exciting academic career path as a Postdoctoral Research Assistant in Machine Learning at jobs.ac.uk. Don't miss out on this job opportunity - apply today!
Forwarded from Sitpor.org سیتپـــــور
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منظور ما از پدیدارگی یا emergence در سیستمهای پیچیده چیه؟!
انگاره پیچیدگی عینک جدیدی برای مطالعه طبیعت به ما میدهد. سیستمهای پیچیده از تعداد زیادی اجزا تشکیل شدهاند که در مقیاس ریز، اجزایشان برهمکنشهای موضعی دارند و در مقیاس درشت، رفتارهای «پدیداره» از خود نشان میدهند که شبیه به رفتار اجزای آنها در مقیاس ریز نیست. پدیدارگی در مورد این جور پدیدههاست.
این ویدیو دعوتی است برای خواندن این مقاله مروری کوتاه:
What is emergence, after all?
🔗 https://arxiv.org/abs/2507.04951
🎞 https://youtu.be/fMyuRjgFu-I
🎧 Audio File
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@sitpor | sitpor.org
instagram.com/sitpor_media
انگاره پیچیدگی عینک جدیدی برای مطالعه طبیعت به ما میدهد. سیستمهای پیچیده از تعداد زیادی اجزا تشکیل شدهاند که در مقیاس ریز، اجزایشان برهمکنشهای موضعی دارند و در مقیاس درشت، رفتارهای «پدیداره» از خود نشان میدهند که شبیه به رفتار اجزای آنها در مقیاس ریز نیست. پدیدارگی در مورد این جور پدیدههاست.
این ویدیو دعوتی است برای خواندن این مقاله مروری کوتاه:
What is emergence, after all?
🔗 https://arxiv.org/abs/2507.04951
🎞 https://youtu.be/fMyuRjgFu-I
🎧 Audio File
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
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The Era of Experience & The Age of Design: Richard S. Sutton, Upper Bound 2025
https://youtu.be/FLOL2f4iHKA
Welcome to the era of experience
https://storage.googleapis.com/deepmind-media/Era-of-Experience%20/The%20Era%20of%20Experience%20Paper.pdf
https://youtu.be/FLOL2f4iHKA
Welcome to the era of experience
https://storage.googleapis.com/deepmind-media/Era-of-Experience%20/The%20Era%20of%20Experience%20Paper.pdf
YouTube
The Era of Experience & The Age of Design: Richard S. Sutton, Upper Bound 2025
In his first large-scale public presentation after receiving the Turing Award, Dr. Richard S. Sutton presents, "The Era of Experience & The Age of Design," recorded live at Upper Bound.
In this presentation, Dr. Sutton lays the groundwork and shares a few…
In this presentation, Dr. Sutton lays the groundwork and shares a few…
We are hiring multiple #PhD and #postdoc researchers for two newly funded projects related to the interaction of mental health and political polarization. The positions are in the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community of researchers working on related topics, including digital health and welbeing, network science, computational social science, and many topics in machine learning.
https://www.aalto.fi/en/open-positions/open-postdoctoral-and-doctoral-positions-to-work-on-polarization-and-mental-health
https://www.aalto.fi/en/open-positions/open-postdoctoral-and-doctoral-positions-to-work-on-polarization-and-mental-health
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CSS, recognize the genocide in Gaza!
This is a call to all members of the Complex Systems Society.
We ask the CSS to join other academic organisations in publicly condemning the ongoing genocide in Gaza.
We ask you to sign the letter below in support of the initiative.
https://docs.google.com/forms/d/e/1FAIpQLSc9yqD3JufuaNBJQkg7q0KsYqnUSpYnRVprbb8E-V7rV7To2A/viewform
This is a call to all members of the Complex Systems Society.
We ask the CSS to join other academic organisations in publicly condemning the ongoing genocide in Gaza.
We ask you to sign the letter below in support of the initiative.
https://docs.google.com/forms/d/e/1FAIpQLSc9yqD3JufuaNBJQkg7q0KsYqnUSpYnRVprbb8E-V7rV7To2A/viewform
Google Docs
CSS, recognize the genocide in Gaza!
This is a call to all members of the Complex Systems Society.
We ask the CSS to join other academic organisations in publicly condemning the ongoing genocide in Gaza.
We ask you to sign the letter below in support of the initiative.
29th August 2025
Dear…
We ask the CSS to join other academic organisations in publicly condemning the ongoing genocide in Gaza.
We ask you to sign the letter below in support of the initiative.
29th August 2025
Dear…
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#Postdoc Positions in Mathematics at the Department of Mathematical Sciences KU
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18973&ProjectId=164797&MediaId=5&SkipAdvertisement=false
https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18973&ProjectId=164797&MediaId=5&SkipAdvertisement=false
Some thoughts on Al and infectious diseases as we prepare for the next pandemic
https://sciencenews.dk/en/artificial-intelligence-could-be-our-greatest-ally-in-the-next-pandemic
https://sciencenews.dk/en/artificial-intelligence-could-be-our-greatest-ally-in-the-next-pandemic
Science News
Artificial intelligence could be our greatest ally in the next...
Artificial intelligence (AI) will undoubtedly have a key role in how pandemics are managed in the future. Now, researchers have created a concrete plan for how the technology should be developed...
74% of MPI postdocs are international (immigrants).
Only about 25% of those international postdocs are certain they want to stay in Germany after their postdoc ends. Many cite family reasons, better opportunities abroad, or language barriers as factors.
https://www.postdocnet.mpg.de/214512/2024-survey-results
Only about 25% of those international postdocs are certain they want to stay in Germany after their postdoc ends. Many cite family reasons, better opportunities abroad, or language barriers as factors.
https://www.postdocnet.mpg.de/214512/2024-survey-results
Max-Planck-Gesellschaft
The Max Planck Survey Report 2024
The 2024 Max Planck PostdocNet Survey took place between June and August 2024. It is the third survey conducted by the PostdocNet, updating our results from 2019 and 2022. The participation increased from 659 postdocs in our 2022 survey to 872 postdocs in…
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Your friends are funnier than you are
https://complex-stories.uvm.edu/friends-funnier-than-you-are
https://complex-stories.uvm.edu/friends-funnier-than-you-are
NetSciX 2026
International School and Conference on Network Science
17th-20th February 2026
Auckland, New Zealand
https://netscix2026.github.io/
Submission Deadline: 26th September 2025, 23:59 AoE.
International School and Conference on Network Science
17th-20th February 2026
Auckland, New Zealand
https://netscix2026.github.io/
Submission Deadline: 26th September 2025, 23:59 AoE.
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#Postdoc Research Associate in Applied Mathematics and Computational Neuroscience
https://www.maths.ox.ac.uk/node/74169
https://www.maths.ox.ac.uk/node/74169
Forwarded from IPM Biological Sciences
سخنرانی دکتر امیر کارگران از پژوهشگاه دانشهای بنیادی
چهارشنبه ۹ مهر ۱۴۰۴
ساعت ۱۴ الی ۱۵
نشانی : تهران، خیابان شهید لواسانی (فرمانیه)، بعد از برج کوه نور، جنب خیابان شهید فربین، پژوهشگاه دانشهای بنیادی، طبقه همکف کلاسA
شرکت برای عموم آزاد است ؛ حضوری یا آنلاین.
امکان شرکت در جلسه به صورت آنلاین از طریق این لینک فراهم است .
چهارشنبه ۹ مهر ۱۴۰۴
ساعت ۱۴ الی ۱۵
نشانی : تهران، خیابان شهید لواسانی (فرمانیه)، بعد از برج کوه نور، جنب خیابان شهید فربین، پژوهشگاه دانشهای بنیادی، طبقه همکف کلاسA
شرکت برای عموم آزاد است ؛ حضوری یا آنلاین.
امکان شرکت در جلسه به صورت آنلاین از طریق این لینک فراهم است .
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🎞 State-Space Compression, Coarse-Graining, and the Averaging of Life and Mind
Simon DeDeo
Abstract
Renormalization is a principled coarse-graining of space-time. It shows us how the small-scale details of a system may become irrelevant when looking at larger scales and lower energies. Coarse-graining is also crucial, however, for biological and cultural systems that lack a natural spatial arrangement. I introduce the notion of coarse-graining and equivalence classes, and give a brief history of attempts to tame the problem of simplifying and "averaging" things as various as algorithms and languages. I then present state-space compression, a new framework for understanding the general problem. At the end, I present recent empirical results, in an animal social system, that show evidence for the coupling of scales: the reaction of coarse-grained facts about a system "downwards" to influence the microphysics.
https://pirsa.org/14120020
Simon DeDeo
Abstract
Renormalization is a principled coarse-graining of space-time. It shows us how the small-scale details of a system may become irrelevant when looking at larger scales and lower energies. Coarse-graining is also crucial, however, for biological and cultural systems that lack a natural spatial arrangement. I introduce the notion of coarse-graining and equivalence classes, and give a brief history of attempts to tame the problem of simplifying and "averaging" things as various as algorithms and languages. I then present state-space compression, a new framework for understanding the general problem. At the end, I present recent empirical results, in an animal social system, that show evidence for the coupling of scales: the reaction of coarse-grained facts about a system "downwards" to influence the microphysics.
https://pirsa.org/14120020
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