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, accelerated partition utilizing next-generation GPUs—set to become available in 2027. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate
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the ELLIS network of excellence in AI. You will be embedded in a vibrant, international team of PhD students and postdoctoral researchers, with access to substantial GPU compute, real robots and rich
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sciences Collaboration with experts in lab science, medicine, and machine learning Modern GPU compute infrastructure A chance to contribute to cutting-edge research with real-world impact Who you are Strong
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of whole rodent brains; memory-efficient I/O, tile-based or chunked processing, multi-resolution formats such as OME-Zarr) and GPU computing on cloud or HPC environments. Experience mentoring or training
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tumorboard workflows Access to unique longitudinal clinical datasets, established molecular tumorboards and high-performance computing infrastructure (including NVIDIA B300 GPUs) Funding for open-access