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implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene
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The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary
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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large
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: https://www.list.lu/ How will you contribute? This postdoctoral position is part of a large European project involving universities, research institutions, and industrial partners across Europe
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., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasets Collaborate closely with
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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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8 Apr 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Physics Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services