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welcome from all areas of operations research, including but not limited to optimization, mathematical programming, analytics, data-driven decision-making, stochastic modelling, and systems analysis. We
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Engineering » Other Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 1 Apr 2026 - 21:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time
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aims to strengthen its leading role in systems and operations research in Finland. Applications are welcome from all areas of operations research, including but not limited to optimization, mathematical
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(Sensor Informatics and Decision-Making for the Digital Transformation). Read more about the Competence Center here: https://liu.se/forskning/seddit . The focus of this specific PhD project is to explore
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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, New York 14850, United States of America [map ] Subject Areas: Data Science / Statistics , Applied Mathematics , Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 21 days ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1
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, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. Read more about the division here: https://liu.se/en/organisation/liu/isy
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based on a techno-economic analysis, optimizing CAPEX and OPEX, while ensuring relevant grid code requirements. (5) Apply the methodology to specific scenarios for techno-economic analysis, selecting
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Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing