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: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.] Data management and analysis solutions that aid in the storage, investigation, and
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 10 days ago
. Degree in Computer Science, IT, or a related field, or equivalent experience. Preferred: Familiarity with parallel computing, job schedulers, and high-speed networking. Experience with storage technologies
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, parallel/distributed computing, as well as diverse architectures and understanding of its impact on application performance Knowledge in GPU-based programming and modelling of scientific simulations
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international collaborations. The department is responsible for courses in 14 of SLU's educational programs, e.g. the agronomy programs, the bachelor's program in biology and environmental science, the master's
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generative design tools such as HEEDS, and/or the Dakota or RAVEN uncertainty quantification tools. Experience with FORTRAN, C, and/or C++ applied programming. Knowledge of Python, Java, or other scripting
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degree in computer science and: You have a good knowledge of C++ You have skills in software engineering. You are familiar with common development environments and associated tools Knowledge of parallel
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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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international programs in more than 150 countries. Positional Summary CAPS provides an excellent quality of care to undergraduate, graduate and professional students. We are committed to demonstrating empathy and
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international collaborations. The Department is responsible for courses in 14 of SLU's educational programs, such as programs in agronomy, a bachelor's program in biology and environmental science, a master's
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in geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., matlab, phyton, C/C++) and parallel