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algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational
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Postdoc position to support international research and capacity-building projects employing elect...
also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . At the Faculty of Natural Science at Aarhus University, we
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(thedonnellycentre.utoronto.ca ). Required Qualifications: We are looking for postdocs that have excellent molecular biology skills and/or a strong computational background including machine learning approaches. Candidates should
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institutions and leading to a joint degree or double/multiple degrees. The joint study programme should lead to new jointly developed programme-level learning outcomes, but can be based on existing and/or newly
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
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to teaching and course development for the Ph.D. in Human Genetics program. Provides research mentoring to postdocs and graduate students. Contributes to development of collaborative grant applications. About
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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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between the creativity of academia and the relevance of industrially guided research? The Van ‘t Hoff Institute for Molecular Sciences is looking for an ambitious postdoc. Shape the Future of Sustainable
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel