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play a key role in the integration and analysis of omics data collected within the groundbreaking TREAT EARLIER trial. This trial is the first preventive study in the field of rheumatology globally and
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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drug design, protein structure modeling and simulations, target-based and phenotype-based compound screening, single cell data analysis and modeling, medical imaging processing, Natural
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25 Aug 2025 Job Information Organisation/Company Institute of Nuclear Physics Polish Academy of Sciences Department Department of Magnetic Resonance Imaging /NZ56/ Research Field Physics Researcher
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the Department of Radiology and Imaging Sciences at the University of Utah invents, develops and validates exciting image guided technologies to treat a myriad of conditions with therapeutic ultrasound. Our
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 3 hours ago
the molecular processes governing the establishment, maintenance, and breakdown of photosymbiosis in cnidarian hosts. You will generate and analyze high-resolution transcriptomic data to compare host cells and
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier) for 18 months. The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics
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, your tasks will include: •Designing, executing, and analyzing model-based workflows to study the molecular response of cartilage under mechanical load. •Integrating advanced imaging techniques, including