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under ETH Zurich Excellent working conditions, including access to modern GPU and computing infrastructure and sensor equipment A competitive salary in accordance with the regulations of ETH Zurich Active
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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
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PhD candidate in the automated detection of measurable residual disease in hematological malignancie
-of-the-art compute & GPU infrastructure Collaborative and supportive research environment with expertise in both the generation (wetlab) and the analysis (drylab) of high-end cytometry data. Attendance
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national high-performance computing facilities (both CPU and GPU-based) to conduct large-scale simulations efficiently. Working closely with experimental collaborators to validate computational predictions
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machines, to shared GPU servers, the Delft AI Cluster that is shared across departments, as well as DelftBlue, which is one of the top 250 supercomputers in the world. Your supervisors will be Dr. Holger
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access to the compute resources of TU Delft, ranging from personal machines, to shared GPU servers, the Delft AI Cluster that is shared across departments, as well as DelftBlue, which is one of the top 250
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experience with solving large linear systems (e.g. numpy) and large-scale inverse/optimization problems (e.g. scipy, cvxopt, pylops, …). Experience with large data sets and GPU computing (e.g. CUDA); and/or