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contribute? · Contribute to ESRIC’s research on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches
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dynamics and biomolecular condensates contribute to PD co-pathologies in human midbrain assembloid models. The work combines advanced imaging, molecular biology, and functional disease modeling. Key
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The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function
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agenda on multimodal and multilingual language models. The successful candidate will focus on the development of multimodal, multilingual resources and on the design and evaluation of methods that leverage
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modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
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22 Apr 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions Postdoc
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The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs), uncertainty quantification, and atomistic simulations within the FNR
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datasets across broad chemical space Evaluate models through molecular dynamics, simulations, and benchmarks Active Learning in Configurational and Chemical Spaces Integrate uncertainty-aware MLFFs
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to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance the state-of-the-art
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report