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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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focused on translational control in cancer • Drive the development and advance our single-cell ribosome profiling strategies in mouse models of cancer • Contribute to the development and optimization of new
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Characterization of DAC sorbents under process conditions and optimization of processes Integration of the infrastructure in a multi-institutional center for separation technologies Development of novel monoliths
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objectives include: Elucidate how synthesis route and aerogel properties affect the aerogel composite properties Optimize thermal and mechanical properties of aerogel composites Streamline the efficiency
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et al., Nature 2021. 3 - Feed-forward loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z, et al., EMBO Mol Med. 2022. 4 - Optimized full-spectrum flow
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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
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of results. Operate and optimize automated sample preparation workflows, including liquid-handling robotics (method setup, optimization, validation, and QC). Drive untargeted data processing workflows (feature
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understanding of the underlying physical mechanisms and to leverage this knowledge to develop predictive tools for optimizing the design and control of wind farms. Research scope and responsibilities Depending
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess