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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
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2026. The UNFoLD lab specialises in the experimental measurements, analysis, and modelling of unsteady vortex-dominated flow phenomena, with applications in bio-inspired propulsion, wind turbine rotor
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subsequent simultaneous analysis. This project aims at overcoming these challenges to reliably measure atmospheric PFAS levels and model their respective emission strengths in Switzerland. The results
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nanoparticle systems. Investigate model particles such as liposomes, mesoporous silica and silver nanoparticles. Investigate RNA-LNP formulations for next-generation gene therapeutics, examining how lipid
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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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dedicated experiments (e.g., flares vs. chaff). Providing observational constraints on turbulence and thermal effects to improve the representation of microphysical processes in model simulations
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challenges. Our core research topics include but not limited to the following topics: Interpretability and explainability of AI models in clinical settings Fairness and bias mitigation in pediatric AI
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a