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seek colleagues with research interests in any area of applied mathematics, including computational and applied mathematics, mathematical biology, modeling and analysis of complex data and physical
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah
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7 Feb 2026 Job Information Organisation/Company CNRS Department Institut européen des membranes Research Field Chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher
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/Area Computer Science Position Description Accepting applications for postdoctoral position in Reinforcement Learning, Probabilistic Methods, and/or Interpretability. Information on the lab can be found
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE E TECNOLOGIE AGRO-ALIMENTARI | Italy | 5 days ago
defined Job Status Not Applicable 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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competitive grant proposals to support independent and joint research activities. Where to apply Website https://apply.refline.ch/673278/3852/pub/en/index.html Requirements Research FieldPhysics » Computational
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California Polytechnic State University | San Luis Obispo, California | United States | about 13 hours ago
at the upper-division and graduate level. All areas of expertise in applied mathematics will be considered, but areas of special interest include numerical analysis, computational methods, numerical optimization
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About the Opportunity JOB SUMMARY The Associate Vice President - Infrastructure leads several teams to ensure optimal performance, availability and scalability of Northeastern University’s IT
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, micro-partitioning, and query profiling. Monitor workloads and optimize compute usage, warehouses, and storage for cost and performance efficiency. Data Pipeline & Integration Development Design and
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-based methods can drasti-cally reduce computational cost and enable rapid optimization, paving the way for efficient develop-ment of next-generation, low-cost, and high-performance components for space