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projects that apply machine learning and advanced computational modeling to integrate multi-omics, clinical, and imaging data for biomarker discovery and mechanistic insights in AD. The position offers
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. Multi-omics approaches and big data analysis will be included. As a component of this, it includes data analysis, prepare data for presentations (oral and written), write manuscripts, contribute to grant
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investigating adaptive neural circuits underlying distinct forms of behavioural flexibility. The postholder will be responsible for designing, developing, and operating advanced large-field or multi-brain region
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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of Excellence in Tree Biology that brings together ten PIs from the University of Helsinki (UH) and two from the Natural Resources Institute Finland (Luke), who together with a large network of international
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spectrometer for elemental analysis - Statistical techniques used in source apportionment modelling, e.g., positive matrix factorization - Working with large data
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of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in psychiatric disorders
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11 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Science des Matériaux de Mulhouse Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher
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information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The Amsterdam Machine Learning Lab (AMLab) conducts
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the