22 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Basel
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(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 computing backbone of a
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innovations. The Pediatric 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
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, processing, and analysis of large and heterogeneous data. Within the DMI, the new professor will build bridges between distributed systems, data science, and machine intelligence through shared interests in
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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
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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Building a quantum computer that can solve real-world problems will require the integration of many highly coherent qubits. Hole-spin qubits in planar germanium quantum wells are among the most
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Swiss universities. Application / Contact Please apply online by September 30, 2026. For more information, contact the SWEET CoSi project's managing director, Stephan Schmidt ([email protected]
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. sciCORE provides advanced infrastructure and services for more than 2,000 researchers, including high-performance computing, scientific data processing and storage, secure research environments, consulting
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. The University is highly research-oriented, with particular strengths in life sciences and medicine, as well as growing strategic focus areas in data science and artificial intelligence. sciCORE provides advanced
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information, including protein–ligand interaction features, into generative AI workflows. Developing computational workflows for closed-loop DMTA cycles in which experimental affinity, selectivity, and