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, 33621493, 33087936, 30566856, 39947938; doi: https://doi.org/10.1101/2025.03.15.641049 ). Postdoctoral Projects Project 1: Replisome Dynamics, Replication Stress, and Cancer Vulnerabilities This project aims
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
-omics data, including (epi)genomics, transcriptomics, metabolomics, lipidomics, and proteomics, advanced MRI data, as well as extensive behavioral and clinical data, including cognitive and neurological
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algorithms Predicting structured output Self-supervised learning Computational metabolomics Computational biomedicine Computational drug discovery Excellent technical and communications skills are required
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research program areas under this priority include: metabolomic, microbiome, and/or epigenetic programming; molecular, physiological & pharmacological mechanisms of nutraceuticals, cannabinoids, and/or other
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molecular responses to whole-organism effects, we will combine targeted physiological measurements with multi-omics (proteomics, metabolomics, lipidomics) and phenotypic end-points. As our model system, we
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Responsibilities Salary Range: $80,000 – $100,000 Benefits Information: https://www.luc.edu/hr/benefits/ We are seeking a highly motivated data scientist to join our group, which has been supported by federal funds
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Postdoctoral Researcher in Bioinformatics and multiomics, your research focus will be on integrating and modelling patient transcriptome, metabolome and proteome data at single cell resolution with the aim
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determination to understanding how viruses hijack a cell’s machinery and alter its metabolome, the researchers in Biochemistry and Molecular Genetics (BMG) are at the forefront of their fields, conceptually and
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determination to understanding how viruses hijack a cell’s machinery and alter its metabolome, the researchers in Biochemistry and Molecular Genetics (BMG) are at the forefront of their fields, conceptually and
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neuroimaging (multi-modal MRI), multi-omics (e.g., genomics and metabolomics), and geospatial mapping of area-level environment. To facilitate the neurobiological interpretation of MRI-based metrics, we employ