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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop key knowledge for an efficient energy transition through AI in
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 05 April 2026 Apply now Interested in exploring
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Nijmegen School of Management Application deadline 22 February 2026 Apply now Join Radboud
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the PI and the technical/data engineer to manage data workflows, ensure FAIR data practices, and translate raw measurements into robust scientific products that feed directly into QUASI’s data analysis and
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Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
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, open to communicate and collaborate with peers and partners. You also possess: A PhD in Agronomy, Environmental Engineering, or related areas Experience with agricultural practices, agrobusiness, energy
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for future roles in a rapidly evolving energy sector. By working in an interdisciplinary team, you will contribute to shaping a responsive ecosystem that strengthens collaboration, reduces time-to-job, and
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the EU. This position will sit at the Energy and Industry section of the Technology, Policy and Management Faculty of TU Delft, with Dr. Mar Pérez-Fortes, and will be co-supervised by Dr. Ana Somoza-Tornos
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of ultracold atom experiments to new reals of AMO physics. You also should have a recent PhD in experimental ultracold atom or trapped ion physics. great team working skills. initiative and good time management
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control and energy-management algorithms for efficient and reliable long-duration operation. Implement hardware-in-the-loop (HIL) and real-time co-simulation for validation under realistic grid scenarios