16 component-labeling-agorithm-cuda Postdoctoral positions at Umeå University in Sweden
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/ This postdoctoral fellow position is part of a new Career Programme for early-stage researchers in Educational Sciences initiated by the Umeå School of Education. The Career programme aims to strengthen Educational
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be a part of the development of a larger effort aimed at the development of light-emitting electrochemical cells (LECs). The LEC is a novel technology that is attracting interest from both academia and
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, analyze and document experiments, present your research results at scientific conferences, and write manuscripts in collaboration with the group leader. It is expected that you will take part of group
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of performing 1-D hydrodynamic model simulations using tailored techniques of projection-based model order reduction. The selected candidate will take part in designing their project and take responsibility
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of life science is data-driven. Will you be leading that change with us? Then join us in this unique program! MIMS MIMS is the Swedish node of the European Molecular Biology Laboratory (EMBL) and part of
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the project will be compensated. The project is part of a consortium project supported by Vinnova (Swedish Agency for Innovation Systems) with partners including RISE High-Speed Transmission Lab (Kista
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Council through project 2024-04957 “Compiling General-size Linear Algebra Expressions using Equality Graphs”. The postdoctoral researcher will be part of the High-Performance and Automatic Computing group
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this gene transfer. The overall goal of this project is to study the function and structure of Type 4 Secretion Systems from Gram-positive bacteria. In part depending on the background and interests
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initiatives, be able to work both independently as well as part of a team. Furthermore, the applicant should have good analytical and organizational skill. Great emphasis will be placed on the candidate’s
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the groups on existing projects, but will also be given the opportunity to develop and work on their own research ideas. The project is part of the AI/MLX track of the Wallenberg AI, Autonomous Systems, and