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following requirements: You hold a Master’s degree in Materials Science and Engineering, Physics, Chemistry or a closely related discipline. You have a strong background and prior experience in atomistic and
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and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea ice, using a framework
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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), while working closely with faculty contacts at Erasmus MC (Maarten Engel) and RSM (Brenda de Groot) Where to apply Website https://www.academictransfer.com/en/jobs/363731/data-analyst-project-based-open
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Physics » Applied
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systems and control theory, circuit theory, optimization, and machine learning, with the ultimate goal of advancing the mathematical foundations of physics-based learning. Your responsibilities include
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an individual ESA Member State or Associate Member under a bilateral partnership agreement concluded with ESA. As a result, a representative of the sponsoring State participates in the selection process. In
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. We will not process applications sent by email and/or post. As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Quantum mechanics Researcher Profile Recognised Researcher (R2) Application
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@rug.nl Questions about your application process? Lorenzo Squintani (Full Professor): [email protected] Website for additional job details https://www.academictransfer.com/363891/ Work Location(s) Number