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, or collaborating in the research activities of other living laboratories, Participating in the implementation of collaborations within research programme Desirable qualifications (beneficial): Experience with
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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scientific programs with a strong focus on Electroweak and Beyond the Standard Model physics. Participation in the development and performance of physics and detector simulations for high-energy and nuclear
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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(R3) Country Morocco Application Deadline 1 Oct 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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University of Notre Dame, Applied and Computational Math and Statistics Position ID: NotreDame -PDLUCY25 [#26898] Position Title: Position Type: Postdoctoral Position Location: Notre Dame, Indiana
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25 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 583--1-9394 Is the
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Familiarity with optimization algorithms and design of experiments methodologies Experience with high-performance computing environments Track record of publications in peer-reviewed journals Previous
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
of the high-energy radiation environments of stars that host the majority of known planets in the habitable zone. Over its one-year primary mission, SPARCS will perform long-duration stares (5–40 days) of ~20
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resistance and microbiomes, statistical analysis of high-dimensional datasets, and developing bioinformatic pipelines for high-throughput analysis in high-performance computing (HPC) clusters. The work