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, technical and administrative personnel) and hosts around 35 PhD students and 15 postdoctoral researchers. PHELIQS conducts fundamental research in the fields of nanophysics and condensed matter physics
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 06.08.2026 Job
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 25 days ago
Postdoctoral fellow in the group of Prof. Peter G. Schultz at Scripps Research in La Jolla on the reprogramming of Botulinum proteases for targeted degradation of intrinsically disordered proteins
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Requirements a) Strong skills in the areas of mathematical statistics, optimization, online learning, optimal control, and stochastic processes. b) Relevant experience in online learning theory, demonstrated by
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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of flexible energy resources (e.g., heat pumps); knowledge of mathematical modelling, optimization, machine learning, or data analytics (experience in one or more is desirable); strong scientific programming
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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brings together expertise in energy informatics, optimization, data science, social sciences, and governance to develop trusted data-sharing solutions for the heat transition. Within the project, you will
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-driven modeling or systems optimization. Experience 0–3 years of postdoctoral experience (or equivalent research experience) in computational, statistical, or data-driven modelling Proven experience in