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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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chemistry, with experience planning and troubleshooting synthetic routes and performing parallel library synthesis. The ideal candidate should have experiences with one or more of the following: working with
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coordinate with clinic implementation staff. Collaborate with cancer consortium parallel offices and clinic partners to ensure all institutional pre-activation requirements are met. Partner with study startup
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medical product review processes, analyze vast amounts of clinical trial data, and assess post-market surveillance data with greater precision. In parallel, AI is transforming drug discovery and development
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chemistry, ideally with experience in performing reactions in parallel, handling automated kinetic instruments, and associated analytical techniques (HPLC, GC). Knowledge of Design-of-Experiment and automated
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, and improve linkages between atmospheric chemistry and public health research. The position is part-time and will require close interaction with parallel research activities at the University
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of the system’s network switch, parallel file system and HPC software stack and tools. Configuration of the scheduling and queuing system. Diagnosing and resolving system operational problems quickly and
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environment. This includes a HPC cluster with NVIDIA H100 nodes, parallel storage and fast interconnects, dedicated workstations with multiple A6000 GPUs, and web-based services via Microsoft Azure
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| Computer Science and Engineering Initiates and leads research and development in the areas of data management systems for high performance computing (HPC), parallel computing systems; collaborates with
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to an entrepreneurial ecosystem directly related to its industrial and socio-economic environment in Morocco and Africa. HTMR provides highly automated and parallel approaches to the development of new materials and