19 learning "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Switzerland
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approaches for drug design by combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038
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needs through innovative biomedical research and engineering solutions, translating basic science into medical knowledge and healthcare innovations. The Pediatric Disease Modeling Lab (https
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Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and maintain the data and
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activity, synaptic plasticity, machine learning, and the development of fast, energy-efficient neuromorphic systems. The candidate will also play a central role in developing teaching activities in
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Swiss Federal Institute of Technology Lausanne, EPFL | Lausanne, Canton de Vaud | Switzerland | about 1 month ago
-learning approaches for materials discovery and modeling. A doctorate is required at the starting date. A successful candidate is expected to develop an independent and competitive research program in
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science into medical knowledge and healthcare innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a
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flexibility, reliable laboratory work, good organizational skills and the ability to work independently. Applicants should enjoy learning new methods and working in a collaborative research
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and dynamics. Flow- and diffusion-based models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying regulatory principles
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settings, images often assume an exemplary character, aiding epistemic and learning processes. They fulfill evidential, didactic, and symbolic functions, and thereby produce different forms of knowledge
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-, and thermochromic molecular switches, and investigate how their interactions can be engineered to produce quantifiable memory and learning behaviors. PhD position in the development of life-like