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guidelines for the efficient and automated design and optimization of small-scale turbomachinery. Required competences Strong background in model order reduction techniques, surrogate modeling
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Participate in education and supervise student projects More specifically, within this project, you will: Develop and apply multi-objective topology optimization to identify and characterize the
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work on the design, analysis, and implementation of innovative models for decision-making, economics, and operations. Research topics may include optimization, decision-making under uncertainty, market
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improve the reliability and performance of large-scale experiments. LLM post-training and Reinforcement Learning Support SFT, preference optimization, and reinforcement learning workflows. Build and run
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optimal T-cell expansion protocols. In close collaboration with the lab of George Coukos ( https://agora-cancer.ch/laboratory/coukos-lab/ ), we will derive protocols enabling rapid expansion of cancer
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characterization of advanced MEMS probes for cryo- SPM Development and optimization of wafer-scale micro- and nanofabrication processes, including integration of sensing, actuation and electrical
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configurations, implementing new tuning knobs, and developing correction schemes to enhance luminosity, beam lifetime, and dynamic aperture—critical figures of merit for collider optimization. Initial work will
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and economic relevance. You will plan and conduct experimental research, including experimental campaigns, data analysis and process optimization, while ensuring high standards of laboratory practice
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optimization for heterogeneous distributed data, and hardware/software codesigned engines for demanding applications. Main duties and responsibilities Work closely with all members of the lab carrying out
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established. The successful candidate will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties and responsibilities include Optimization