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Methodological toolkit related to applied mathematics, environmental economics, game theory, or operations research Skills in data management and computational implementation of large-scale optimization models
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(NFR). DYNCAT aims to develop highly predictive, physics-based and AI-enhanced computational models to study and optimize the Rochow-Mülller process, which produces the raw material for silicone
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infrastructure, and is currently expanding its research activities in exploring several emerging topics of next-generation communications and computing systems. For more details, you may refer to the following
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optimizing the recovery of critical raw materials in the hydrometallurgical recycling of Li-ion batteries. As a PhD researcher, you will: Investigate purification and separation methods to understand
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The Department of Computer Science at The Technical Faculty of IT and Design invites applications for a PhD stipend on the topic of Cooling Flexibility Modeling, Estimation, Aggregation, and
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endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe
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(UTC) Type of Contract To be defined Job Status Other 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
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finance, as well as strategy consulting, operation research, optimization, and AI/ML labs. Admission profile Highly qualified and motivated candidates with MSc degrees in Mathematics, Computer
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creating virtual replicas of physical homes, the project aims to monitor and optimize energy usage, personalize living environments, and strengthen security measures. This work requires a comprehensive
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Research Framework Programme? Not funded by a EU programme Reference Number PRBI/33/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description Research Scholarship (BI