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theoretical advances into practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with
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methods, dynamical mean-field theory) are appreciated. Experience with models and questions arising in machine learning theory (loss landscapes, generalization, high-dimensional optimization) is a strong
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Networked Systems Abstractions Lab (LASeR) Mission The EPFL Networked Systems
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: The Practice of Judging Others” (MoPo), funded by the European Research Council and led by Professor Christian Rostbøll. Employment can be offered as postdoc or an assistant professorship. The offer depends
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interiors. This work will rely on large-scale atomistic simulations paired with machine-learning interatomic potentials. Duties: ● The postdoc will generate density functional theory reference data, use
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 Dec 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Hours Per Week 37
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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-Direct the Responsible Conduct of Research (RCR) Program for postdocs Partner with the Center for Bioethics to deliver the RCR Program. Teach RCR sessions using cutting edge pedagogical techniques