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assess the operational feasibility and robustness of urban energy system designs emerging from AI- and multifractal-informed planning approaches. The PhD will develop and apply optimization-based energy
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systems is a plus Good foundation in linear algebra, probability, and optimization Excellent knowledge (written/oral) of English is required; German is beneficial Required people skills Highly self
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fostering open, cooperative, and knowledge-sharing research cultures Ability to work effectively in collaborative and international research environments and contribute to interdisciplinary teamwork Fluent in
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, with a commitment to fostering open, cooperative, and knowledge-sharing research cultures Ability to work effectively in collaborative and international research environments and contribute
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across spatial and temporal scales and their response to global changes. GEML is a knowledge and technology Hub aimed at syncing the scientific community with rapidly evolving genome engineering methods
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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includes the design and manufacturing of miniaturized platforms and their optimization for biochemical assays and analytical procedures. For a third-party funded project, running for four years, we
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, optimized for high-performance computing (HPC) environments Classifying ice crystal habits using Convolutional Neural Networks (CNNs) Providing intuitive graphical interfaces for user interaction and data
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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thermoplastic feedstocks for FDM printing Programming of an existing hybrid FDM printing machine, including printing and milling devices Modelling and optimization of the debinding process Simulation-based design