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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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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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facilities, and validation. Job description Characterization of powdered materials for ink formulation DIW process development for ceramic and TE materials, including parameters optimization and evaluation
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drive research projects in reproductive biology Independently plan, coordinate, and prioritize experimental work Perform and document experiments in compliance with regulatory standards Apply and optimize
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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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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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(RuzicaDadic), University of Fribourg (Martina Barandun and Horst Machguth), and ETHZurich (Evan Miles). The core team consists of the 4 PIs, 4 PhD students, and 4 Postdocsand aims to quantify the impact of
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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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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