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, operations research, or statistics). An ideal candidate would have proficient programming skills and demonstrated experience in computational modeling (particularly integrated assessment or power systems
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/Division: College of Health and Behavioral Studies Department: 100805 - Fast Flex Nursing Program Pay Band: N/A Pay Rate: Commensurate with Experience Specify Range or Amount: Is this a JMU only position? No
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity focuses on the study of light transport in
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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minerals; energy efficiency; renewable energy technologies; and sustainable fuels. Within this framework, a faculty position in AI-Enabled Modeling and Optimization of Energy Systems is available in
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. The postdoctoral associate will receive mentored training in environmental epidemiology, cancer survivorship, exposure assessment, survival analysis, mixture modeling, biomarker analysis, and health disparities
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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Smart Economy Program
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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 Description The activity involves
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24 Aug 2026 Job Information Organisation/Company University of Graz Department Department of Mathematics and Scientific Computing Research Field Mathematics Researcher Profile First Stage Researcher
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cutting-edge software engineering, delivering robust, efficient, and scalable performance on current and future exascale computing platforms. The successful candidate will help ensure that the modelling