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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years
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ML frameworks like PyTorch/JAX Genuine interest in MLFFs, simulation methods, and foundational ML research Desired skills: Experience with atomistic simulation codes: ASE, FHI-aims, VASP, CP2K
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profile Research experience, intercultural and inter-institutional awareness as well as a spirit of team-work are prerequisites: PhD in educational sciences, social sciences or equivalent Strong knowledge
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include Luxembourg and its neighbour regions. Using an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches In-depth qualitative and