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) productivity, optimization and efficiency, and (4) implementation and use of innovative energy solutions. The PhD student position is part of the newly funded KKS Synergy project WorkFlex+ which focuses
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supported by computational modeling, followed by their synthesis using semi-synthetic and total synthetic approaches. Compounds will be optimized through medicinal chemistry strategies and comprehensively
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microbial communities that must remain balanced to ensure efficient and stable biogas production. At the Department of Molecular Sciences, research is conducted both on process operation and optimization and
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and numerical simulations. The work duties include contributing to: developing, implementing and optimizing a multi-configuration-based time-dependent Hartree description of bosonic and fermionic many
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) productivity, optimization and efficiency, and (4) implementation and use of innovative energy solutions. For those interested in the position, we offer: A dynamic, internationally oriented department with
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specialization in Applied Mathematics Subject description Foundational mathematical research motivated by applications in one or several of the areas Stochastic control, Optimization under uncertainty, Inverse
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robust optimization integrated with advanced adversary models and control frameworks such as model-predictive control or reinforcement learning. The exact details of the project will be decided in a
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robotics – reinforcement learning, whole-body model predictive control (MPC), and differentiable optimal control – to simulate human balance and step recovery in urban transport scenarios. The goal is a
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assessments of system components will guide the design optimization. The doctoral students will be partly involved in other research activities that contribute to the training purpose. Who we are looking forThe
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electronics devices. The integration of power electronics enables optimization of the system design and harmonization of different functionalities for reliable and cost-effective energy conversion onboard off