31 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" research jobs
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- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Princeton University
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- University of Colorado
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- Imperial College London
- Instituto Pedro Nunes
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performance and portability through an informed implementation of parallel programming models and abstraction layers. - You will develop benchmarks and metrics to assess the performance, scalability, and
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Ability to code in a programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities
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Full-time Hours Per Week 37,5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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. The following is a brief description of the center: The Center for Language, Brain and Learning (C-LaBL) aims to provide a step-change in our understanding of how multiple languages interact in the mind/brain
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Research Framework Programme? Other EU programme Reference Number IPN/LIS/2025/CON26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Laboratory for Informatics and
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Researcher (R3) Country Morocco Application Deadline 19 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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human or monkey electrophysiology. Studies will include simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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duties. Ability to effectively manage time and see assigned parts of projects through to completion on deadline. Proven ability to juggle multiple related projects in parallel with concurrent and staggered
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration