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designed for cutting-edge engineering applications. Additional requirements include proficiency with C++ and parallel programming models, experience developing complex simulation software as part of a
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help push the boundaries of urban wind modelling by developing efficient
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09541 Is the Job related to staff position within a Research Infrastructure? No Offer Description This offer is part of TASTING, a four
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) Country Sweden Application Deadline 9 Feb 2026 - 12:00 (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
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opportunities for better design. AI-driven optimisation offers a promising parallel route forward. Techniques such as Bayesian optimisation have already proven successful in related contexts, such as optimising
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Application Deadline 13 Apr 2026 - 12:00 (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
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of Materials at the University of Oxford. This position is part of an EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation Photovoltaics.” This collaborative project between
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of Ticket Sales and Operations Create a comprehensive athletic ticket revenue generation plan that runs parallel to an operational and procedures plan for the department, including paid admission for 6
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statistical programs using STATA, SAS, and/or R and parallel computing • Learn about and implement novel/unfamiliar statistical methods, depending on the candidate’s skills and project needs • Perform