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crystallography and natural product research is required. Knowledge in enzymology, protein design, molecular biology, microbial metabolism, natural product analysis (LCMS, NMR etc.) and/or bioinformatics
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biology / X-ray crystallography, protein design, natural product analysis (LCMS, NMR etc.), microbial genetics, and/or bioinformatics are advantageous. As a doctoral researcher, you will furthermore assist
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Law, CRCF). It will develop AI tools to map and predict soil health across space and time, accelerate literature reviews, extract best management practices from long-term experiments, and design methods
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, using monitoring data from the EU Water Framework Directive to calibrate and validate advanced sediment routing and modelling approaches. The research will also design a European-scale turbidity and
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summary of the latter see: p3.snf database In parallel we investigate the role of PI3K in allergy, metabolic control, obesity, diabetes and cancer. To design, execute and analyze biochemical, biophysical
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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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mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we
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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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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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and technology studies, videogame studies, critical making and design, AI and society, computational social science, and psychology. We invite applications for a full-time postdoctoral researcher