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training through high-fidelity 3D visualization (PhD 5). The vacant research position corresponds to the abovementioned ‘PhD 1’ in the FireRisk project. More specifically, you will combine spatial data
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. Combining advanced characterization, materials science, and metallurgical insight, you will explore how these elements affect microstructure evolution, processing behaviour, and ultimately material
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. Together, the team combines expertise in ecological networks, spatial ecology, conservation science, and biodiversity informatics. The position is available from 15 October 2026, or as agreed. About the
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programming Knowledge of software collaboration tools such as GIT, JIRA or similar Good presentation and communication skills Interest in interdisciplinary research combining mobility and energy systems Ability
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) Physics Knowledge of experimental atomic, plasma and/or laser physics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed
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environment. Who are looking for candidates interested in combining non-equilibrium statistical physics, active matter physics, and statistical inference/AI to unravel how cell–cell interactions shape
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Materials to Optoelectronic Devices (M2D) group (https://www.m2ngroup.nl
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scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ You
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annotating geographic changes in data from various sources (satellite or collaborative sources such as OpenStreetMap, for example). The approach combines artificial intelligence (AI) techniques