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machine learning pipelines, with GPU-accelerated environments tailored to foundation model training, data harmonization, and predictive analytics. The Center is embedded within the UC Davis ecosystem, with
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connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS. The center fellows will have access to a 70,000-core Infiniband Cluster
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cryptography. We also offer: World-class facilities: Access to state-of-the-art local High-Performance Computing through CPU and GPU clusters at the SDU eScience Centre , as well as to national and European
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). Experience with distributed systems, GPU computing, or cloud-based simulation environments. Knowledge of human-in-the-loop simulation, training effectiveness evaluation, or synthetic environments. Experience
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for prototyping. Interest and affinity for high-performance computing are necessary for the position. You should have experience with the roofline model and familiarity with a profiler . Experience with GPUs is a
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develop various tools that make the design of microfluidic chips easier and solve, e.g., routing and placing problems under different constraints, depending on the use case. Simulation: We use and develop