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, including genomic, transcriptomic, epigenomic, proteomic, metabolomic, and circulating biomarker data derived from patient tissues and liquid biopsies. Our goal is to characterize the molecular processes
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implication for the treatment of young people in law and policy. This individual will have opportunities to publish independent and collaborative work using public access behavioral and imaging data (e.g., ABCD
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blood flow and oxygenation. This will require surgical induction of chronic hypoxia in mice, and electrophysiological and imaging techniques and analysis. You will be expected to design and perform your
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 10 hours ago
models of lung cancer development. Establishing and manipulating primary-cell, organoid, and other ex vivo model systems. Performing molecular and cellular assays, flow cytometry, tissue processing
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of AI and cancer care. The trainee will collaborate extensively across Northwestern's world-class cancer research ecosystem, including experts in radiation oncology, medical oncology, surgery, genomics
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detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in
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of nutritional or novel interventions in chronic disease, including kidney disease (desirable). Research experience with new guideline-directed medical therapies in cardiovascular-kidney-metabolic disease
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Details Title Postdoctoral Fellow in Neurobiology (Ginty Lab) School Harvard Medical School Department/Area Neurobiology Position Description The Ginty Laboratory in the Department of Neurobiology
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Street building in London. The postholder will work in a multidisciplinary project aiming to dissect the gut colonization stage of the human pathogen Klebsiella pneumoniae as part of a Medical Research
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering