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of multi-linear algebra and tensor contractions software components (libraries, frameworks) leveraging parallel programming and execution models, together with abstraction layers - design high-level
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on Digesting Science, co-designing a schools programme with drama practitioners, teachers, children and families affected by Multiple Sclerosis, developing and testing participatory activities, prototypes and
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on Digesting Science, co-designing a schools programme with drama practitioners, teachers, children and families affected by Multiple Sclerosis, developing and testing participatory activities, prototypes and
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Description This postdoctoral position is part of the research portfolio within Mechanical Engineering and Product Development, where multiple externally funded research projects are conducted in parallel in
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simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar/neuropixel probes and electrical microstimulation to study
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of multiple medicines across cellular mechanisms in parallel, ensuring accelerated assessment of existing and new therapies. Improving our understanding of the cellular basis of disease will help bridge the gap
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learning algorithms for engineering systems Programming experience in FORTRAN, C, or C++ and scripting experience in Python or similar languages Experience with parallel computing environments and Linux
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part of our research program outlined below. Our lab is in the Department of Biochemistry and Molecular Genetics and part of the RNA Bioscience Initiative at the University of Colorado School of Medicine
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depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources