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relevant to the project, such as materials science, physics, chemistry, physical chemistry, or computational chemistry. Extensive experience with molecular dynamics simulations and machine learning. Strong
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development in powder bed electron beam additive manufacturing (EB-PBF), with a focus on AI-driven process planning, heat simulation, and process optimization. The work includes developing physics-based AI
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. This involves method development, large-scale computations, and simulations of complex systems where magnetism is coupled to atomic structure and atomic vibrations. As postdoc, you will principally carry out
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weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning
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. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
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assignments Your tasks will be to carry out research using advanced theoretical and computational methods within quantum mechanics and statistical physics with the aim to study novel materials synthesized
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description