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is decentralized or only partially observable? Depending on the research direction, you may employ techniques from mathematical modelling, machine learning, uncertainty quantification, distributed
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and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase distribution systems observability via surrogate models
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, or related engineering/scientific fields. Demonstrated experience with finite element modeling is essential. A strong affinity for complex theoretical concepts in mechanics and/or applied mathematics. A
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23 Jul 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Application Deadline 15 Oct
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems
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, Digital twins or physics-based modeling, wide-bandgap semiconductor technologies. Excellent written and spoken English communication skills. Ability to work independently while contributing effectively
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battery systems in grid applications. As a result, there is a pressing need for rigorous research to develop integration strategies, modeling approaches, and regulatory frameworks that enable reliable and
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Design the simulaton models that will help airlines fly future aircraft types profitably
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale