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Field
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Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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record. We welcome applications from candidates that have acquired their skills in technical fields like physics, engineering, applied mathematics, or computer science, as long as they have had prior
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 2 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral position will take place in
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18 Sep 2025 Job Information Organisation/Company LIST - Luxembourg Institute of Science and Technology Research Field Biological sciences » Biology Computer science Environmental science Technology
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California Institute of Technology, Physics, Mathematics & Astronomy Division Position ID: Caltech-PMA-IQIMPD [#30579] Position Title: Position Type: Postdoctoral Position Location: Pasadena
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Deadline 25 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 programme Is the Job related to staff
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or