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working with large datasets, modelling, and developing innovative ideas? Are you a creative researcher looking to build your profile for future career opportunities? If so, the Landscape Dynamics group is
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scientific data, model architectures, and training dynamics influence scientific predictions. You will join a vibrant research environment at TU/e at the intersection of AI, scientific computing, and
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analysis. AHM , as a thematic research school, fosters a dynamic, interdisciplinary and transnational approach across various disciplines. AHM’s mission and profile integrate all branches of research
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candidates working on related topics, including nanoparticle database curation, molecular dynamics-based transport modelling, and reinforcement learning for treatment optimization. Contribute to high-impact
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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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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, that e.g., allow to predict relevant dynamics for plasma control, or allow a full simulation of a discharge by using an integrated approach with suitable fidelity, are not mature yet. In very recent years
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leader and follower decisions. We are seeking for a motivated and enthusiastic Postdoc (PD) researcher to join the Combinatorial Optimization group (https://www.tue.nl/en/research/research-groups
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organizations in the hydrogen sector. Analyse design principles and interventions that foster collaboration, co-creation, and innovation in dynamic learning communities. Develop and test tools and methods
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bring Candidates are expected to have: A recent (or soon to be completed) PhD in Political Science or Conflict Studies, with a strong focus on conflict dynamics in the Sahel (PhD must have been completed