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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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simulations, experiments and use case demos using our laboratories equipped with drones, legged and humanoid robots. For further information, please contact Holger Voos at: holger.voos@uni.lu
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), uncertainty quantification, and atomistic simulations within the FNR-funded UMLFF project. MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they
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