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of atomic environments Detection of extrapolation and low-reference data regimes Active learning in configurational and chemical space Training and benchmarking of large-scale foundational MLFF models More
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solutions and compare with state-of-the-art sensing technologies. This groundbreaking research output will lead to the preservation of heritage structures, reduce the environmental impact of infrastructure
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Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine Learning, addressing challenges
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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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. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate will lead the development of a V&V framework for AI-augmented perception systems and will be responsible
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heterogeneous multi-omics datasets. Integrative Data Analysis: Perform and lead analysis of large-scale multi-omics datasets, including RNA/DNA sequencing, methylation, and metabolomics. Method Development
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, tactile sensing, mechanical intelligence for grasping, and multi-modal sensing for robotic manipulation Contribute to and/or lead the development of research proposals Take the lead in drafting, reviewing
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foundation models and HPC-enabled model deployment, ensuring that methodological advances are developed with direct translational and scalability considerations. Responsabilities: Lead the development
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work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your role We are seeking a highly motivated Postdoctoral Researcher to lead
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work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society. Your role We are seeking a highly motivated Postdoctoral Researcher to lead