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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware
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force fields (MLFFs) that combine state-of-the-art equivariant neural network architectures with robust, well-calibrated uncertainty estimates. These models will enable fully automated active learning in
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translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model–graph neural network architectures for gene perturbation prediction, including the design and
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will join the
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program, H2020 program and the European Space Agency (ESA). For further information, you may check: www.securityandtrust.lu The SigCom research group carries out research activities in the areas of signal
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2027 - 01:44 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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2027 - 03:31 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, Self-Supervised and Few-Shot Learning – and their integration into wireless communications and edge computing
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upstream activities, such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further
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/svv The successful candidate will work with Dr. Marcello Ceci and Prof. Domenico Bianculli in the context of the AGLAIA (A General Legal Architecture for Intelligent Applications) project Main