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of Basel; enrolment in the International PhD Programme in Biomedicine, with courses, skills training and career development ● One of Europe's densest life-science ecosystems: alongside the University and its
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell communication . Move beyond descriptive...
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. In our research group, we design mechanically...
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and Health & Interventions, we are successful both nationally and internationally in our research and study programs. The PhD candidate will join the Human Development group at the Faculty of Psychology
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internationally in our research and study programs. The PhD candidate will join the Human Development group at the Faculty of Psychology, University of Basel and contribute to a research program investigating the
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Research Infrastructure? No Offer Description PhD Researcher in Trustworthy and Human-Centred AI Development The KOF Swiss Economic Institute at the ETH Zurich is the leading institute for applied research
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, prestress transfer, and reactivation. Structural-scale simulation of SURPASS overlays in strengthened members, including parametric finite element analyses for surrogate-model development and digital-twin
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of radiopharmaceutical research and development, contributing to a true bench-to-bedside field where scientific discoveries are translated into innovative diagnostic and therapeutic applications that directly benefit
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protein design, with a focus on the development of biosensors for antibiotics. The position is available immediately or by mutual agreement. The project As part of the Swiss National Competence Center in
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the development and application of nonlinear dynamical systems methods for complex physical problems known only from data. The objective is to provide efficient, theoretically sound, fast, and directly