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Experience with HPC workflows (cluster computing, GPU computing, reproducible pipelines) Track record of collaborative work across theory/experiment or interdisciplinary teams All candidates and projects will
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innovative forskningsmiljøer. Du får en arbeidsplass som er tett på de store samfunnsutfordringene – og samtidig nær løsningene på dem. Et arbeid vi gyver løs på med våre aller beste virkemidler: utdanning og
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scientific software development. Proficiency in C/C++ and Python, with experience in HPC environments (e.g., MPI/OpenMP; GPU experience a plus). Record of peer-reviewed publications appropriate to career stage
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Preferred Qualifications • Experience with GPU programming, shaders, or advanced rendering techniques • Experience integrating external APIs or live data streams • Background in distributed systems or edge
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 2 days ago
approaches for automated medical devices (e.g., physiologic closed-loop controlled devices). Developing multi-spectral computational modeling tools using GPU-based processors to map light propagation