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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, or parameter identification Proficiency in Python and frameworks (e.g., PyTorch, TensorFlow) Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development Relevant scientific
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Duties: The purpose of this position is to monitor and care for patients during the collection of HPC and during therapeutic plasma exchanges, TP, photopheresis, white blood cell reduction, and platelet
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. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at http://www.sci.utah.edu/ . We
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infrastructure (High Performance Computing, HPC) * contributing to the implementation and execution of research grants Where to apply E-mail [email protected] Requirements Skills/Qualifications REQUIREMENTS
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structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method development. - High-performance computing (HPC
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information can be found at https://www.humboldt.edu/hr/employee-benefits . Please note that this is an internal recruitment open only to active, stateside, Cal Poly Humboldt Employees. Position Summary
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tasks and meet competing deadlines by using judgement and initiative. Desirable Skills and Experience (Advantageous but not Essential): Experience with high‑performance compute (HPC) or GPU‑accelerated
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a professional manner to a variety of different users of MSI systems who have a variety of differing motivations. Preferred Qualifications: Detailed knowledge of other associated areas of HPC
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computational resources. At IP2I, dedicated scientific computing infrastructures, including CPU and GPU clusters, HPC facilities, and big-data environments, are available for large-scale simulations and data
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whole-genome duplication across diverse plant systems (see https://www.yantlab.net/ ). The project is funded through a Formas grant aimed at restoring European ash (Fraxinus excelsior) populations