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Modeling group at the DIFFER institute in support of EUROfusion projects on AI in fusion exhaust. The work encompasses conduction of plasma edge simulations for reactor design in the EUROfusion DEMO central
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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Observation Programmes. You will be part of the ESA Φ-lab. Our mission is to accelerate the future of Earth observation (EO) by embracing disruptive innovation and acting as the catalyst for disruptive
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genome instability and metabolic diseases. The responsibilities of the position include: Establish the aforementioned research line Design and perform investigations and data analysis Working closely with
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ScaleUA, an international Horizon Europe initiative strengthening Ukraine’s tech infrastructure and shaping innovation, strategy and governance across Europe. Radboud University invites applications for a
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drives innovation for a climate-neutral society. You will investigate how learning communities can be interconnected across micro, meso, and macro levels to create a sustainable knowledge ecosystem
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, PlasmaObs, LCRS, Moonlight and Henon. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Many challenges and trends will affect the operations
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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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. Your work will drive innovation in digital education and support the creation of a future-proof workforce for the hydrogen economy. Where to apply Website https://www.academictransfer.com/en/jobs/357788
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for improvement and innovation to take us further. We want to devote attention to your personal development. You can expect an enjoyable job within the socially relevant world of education and research