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candidate is expected to have a strong background and interest in quantitative disciplines, excellent teamwork and communication skills in English. The candidate will have the opportunity to develop
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expertise in the use and development of AI-based approaches for image and data analysis. A general understanding of methods for in silico prediction, modeling, or data integration and/or of experimental
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and/or Stata 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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govern fundamental biological functions such as homeostasis, growth, differentiation, migration, development, and apoptosis. Despite major advances, a multiscale understanding of how mechanical information
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the University of Basel and the University Hospitals Basel. It unites basic and clinical scientists to advance our understanding of health and disease and to develop pioneering therapies benefiting
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together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-in-mechanochemica… Requirements Research
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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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institutions We explicitly encourage women scholars to apply We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes
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the University of Basel and the University Hospitals Basel. It unites basic and clinical scientists to advance our understanding of health and disease and to develop pioneering therapies benefiting
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of Prof. Tomasz Smoleński at the Department of Physics, University of Basel, Switzerland (https://smolenski-lab.com ), is looking for a highly-motivated and self-driven PhD candidate. The group utilizes