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Berlin, Faculty of Mathematics and Natural Sciences, Department of PhysicsCountryGermanyCityBerlinPostal Code12489StreetNewtonstr. 15Geofield Contact State/Province Berlin City Berlin Website https
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Programme? Not funded by a EU programme Reference Number DR/114/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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) optimization theory, numerical analysis, and applied mathematics. Our Research Interests: The AI + Quantum Group focuses on the frontier of AI + Quantum—the deep integration of artificial intelligence with
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power electronics, control engineering and applied mathematics, will be adaptable and transferable to industrial players designing or operating energy systems across the automotive, aerospace, defence and
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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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wanting to monitor and optimize their health in a home setting, or to workers operating outside the reach of regular medical care and diagnostic equipment. As an Engineering Doctorate (EngD) candidate in
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method) leveraging Gaussian process (GP) emulators to isolate sensitive parameters and optimize workflow computational costs. Calibrate and validate computational models against individual and population
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an advantage: Good knowledge of mathematical optimization (e.g., mixed-integer linear programming, stochastic programming, meta-heuristics) Knowledge of machine learning and/or AI methods Experience with
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numerical optimization with applications to data science; statistical applications to biomedical problems and precision medicine. Applicants should apply using: Interfolio https://apply.interfolio.com/184147
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real-time optimization algorithm for a simulated moving bed system to correct possible mismatches between the mathematical model and the real process. The approach to be developed is based on modifier