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with the Swiss National Science Foundation regulations for doctoral candidates (https://www.snf.ch/media/en/yXApuFw4ml0TPYe2/Annex_XII_Ausfuehrungsregl… ) for the time of their PhD (36 + 12 months
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Your position A fully funded PhD position is available in the Computational Pharmacy group at the University of Basel. The successful candidate will contribute to ongoing research on the development
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development of new sensors, support nanoparticle-based cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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Strong command of R Didactic competence and enthusiasm for teaching Willingness to collaborate with colleagues, and to contribute to the academic activities and further development of the Political Science
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is the development ferroelectric lead free ceramics sintered below 500°C and the analysis of their mechanical and electromechanical properties of elastomers with piezoelectric properties using 3D
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quality journals Personal and professional development support You will be based at Empa in St. Gallen (Claudia Som, principal supervisor, Dr. Roland Hischier and Prof. Dr. Bernd Nowack, co-supervisors) and
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of adaptive radiation and associated key innovations in the evolution of freshwater diatoms. By integrating morphology, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine
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performed in a holistic multidisciplinary approach in close collaboration with partners from UHA, France. The foreseen results of the project shall contribute to the development of optimized textiles used