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-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
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assimilation, and at least a practical understanding of machine learning. Both profiles should bring a curiosity for bridging disciplines and a drive to innovate at the intersection of AI and ocean science
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Offer Description Department of Clinical Sciences Swedish University of Agricultural Sciences (SLU) is seeking a postdoctoral researcher with strong methodological expertise in AI and computer vision for
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, JR102187] Position Title: Position Type: Postdoctoral Position Location: Upton, New York 11973, United States of America Subject Areas: Condensed Matter Physics / Quantum Condensed Matter Theory , Quantum
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representation learning. You have strong programming skills, especially in Python, and preferably experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals
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for additional teaching. The Department of Religious Studies has five full-time faculty and a history of innovative teaching and the promotion of independent learning. The Department's website is http
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Swedish University of Agricultural Sciences (SLU) is seeking a postdoctoral researcher with strong methodological expertise in AI and computer vision for research focusing on animal welfare and
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silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
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computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI
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fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned research institute and school of advanced studies