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Field
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scientific computing in high-performance computing environments are essential. Excellent written and spoken English skills are required. We are also looking for someone with experience with 3D image processing
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. The work will use microorganisms as a starting base, as these are biologically relevant, yet complex and challenging to resolve spatially, provide an ideal benchmark for the method’s performance
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of Electrical Engineering research and education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power
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develop research within the fields of material science, tribo-chemistry and tribology. Subject description Machine Elements include analysis and optimization of components and systems based on performance
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clinical cohorts to perform repertoire analyses of memory B cells and antibodies from multiple compartments and time points. The overall goal is to determine whether mucosal immune responses are seeded from
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excellence as evidenced by strong scientific publications and track record relative to career stage. Strong programming skills (Python or R) and familiarity with high-performance computing Preferred
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-symbolic and context-aware reasoning for robotics - Meta-learning for adaptive coordination Duties The duties of a Postdoc primarily comprise research. You will perform research with substantial experimental
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cooperative control - Body aware motion planning and whole-body control Duties The duties of a Postdoc primarily comprise research. You will perform research with substantial experimental components that should
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perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and MSc
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employed in project “FAME: Fjord Alien Microeukaryotes – New Drivers of Ecosystem Functioning? ” funded by the Swedish Research Council (VR). Knowledge on marine alien and invasive species is highly biased