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Field
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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molecular and cellular biology, biochemistry, bioinformatics, genetics, physiology, and/or neuroscience. Prior experience with liquid chromatography is high desirable and will be given priority in
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metabolic disorders. These approaches entail device design and manufacturing, drug conjugation, neuroscience, and preclinical model experiments. The candidate will work in a dynamic, multidisciplinary
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outcomes across multiple descendant generations (Di Gesù, Matz et al., Cell Rep 2022). The research program is focused on identifying the mechanisms by which maternal environmental exposures, from diet
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 16 hours ago
approaches to multi-level data analysis and structural equation modeling, as well as familiarity with relevant computer packages (SPSS, R, etc) is required. Strong writing skills are important as
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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neuroscience, with the aim of improving mental health outcomes in both non-clinical and clinical populations. We are based at the MRC Cognition and Brain Sciences Unit, University of Cambridge, a world-leading
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translational research involving multimodal neuroimaging analyses, statistics, machine learning, and/or glucose metabolism are preferred. Education and Experience Requirements: PhD in neuroscience
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-class researchers from various fields, including neurophysiology, computational neuroscience, auditory cognition, genetics and genomics, cell biology and gene therapy. Most teams associate fundamental
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We