139 distributed-computing-"the"-"Humboldt-Stiftung-Foundation"-"Aarhus-University" Fellowship positions
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experience as an occupational therapist. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able
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. Research Project: The project proposes to address gaps in knowledge of Caribbean tree species distribution focusing on assessing patterns of species richness, diversity, turnover, and endemism. The project
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing
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infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously been employed
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 5 hours ago
Researcher (R2) Country Canada Application Deadline 1 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not
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infrastructure. We welcome applications from passionate, skilled, and committed individuals. About the Role The spatial distribution of schistosomiasis coincides with development of certain water management
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: Developing, testing, and analyzing research results through empirical and computation methods to support projects funded by federal agencies with background in metallurgy, materials, additive manufacturing
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proposals for competitive funding agencies or organizations Works in the field gathering data -e.g., distributional data, measurements, species samples. Performs other job-related duties as assigned
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Environment at the Norwegian College of Fishery Science (NCFS), with an appointment for a duration of four years. The position is for a period of four years. The nominal length of the PhD programme is three
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computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography