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infections. In addition, recent advances in massively parallel cell tracking now make it possible to address long-standing questions about how bacteria have adapted to survive in unpredictable environments
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integration with classical HPC; accelerator platforms and accelerated computing; parallel, distributed, and HPC programming models and languages; software design, verification, and optimization; energy
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GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
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We are looking for a highly motivated PhD student to join the Nucleic Acid Immunity Lab at the VIB-UGent Center for Inflammation Research. Lab website: https://www.irc.ugent.be/groups/maelfait-lab
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, parallel execution, and distributed training or simulation workloads. Ensure high reliability of research workflows through robust monitoring, logging, and performance analysis systems. Guide the integration
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community and identity formation through integrative engagement at Georgetown University. The person in this role collaborates actively with faculty, staff, and students who lead parallel and intersecting
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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well as many other manual and automated tests. We also do a CSF specific transferrin test, which runs electrophoresis and immunofixation on a body fluid in parallel with serum to check for CSF leakage
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
for identifying protective human gain-of-function gene variants. Supporting the group with (sc/sp) RNA-seq analysis and multi omics integration. Assist with implementation of paralleled microRNA/mRNA single-cell