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Field
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will be actively involved in performing tumorigenic assays, confocal microscopy, flow cytometry, cell biology and biochemistry assays, genome screens, etc. The RA will be working closely with
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fields (molecular biology, molecular genetics or genomics). Degree must have been received within the past five years. Preferred skills: Prior experience in next generation sequencing is highly preferable
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collaboration with USDA-ARS scientists specializing in plant physiology, molecular biology, genomics, and herbicide resistance to advance understanding of resistance mechanisms and support the development
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
genetic data Multimodal machine learning for biological discovery Translational genomics and risk modeling The fellow will work in an environment that emphasizes methodological innovation, statistical rigor
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research assistants, fostering a productive and supportive lab environment. Analyze, interpret, and integrate large-scale datasets (e.g., genomics, transcriptomics, proteomics) to generate actionable
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for three references. Basic Qualifications: Ph.D. in biology, computational and data analytic skills, experience with spectroscopy, plant function, genetics, genomics, evolutionary biology or related field(s
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University of British Columbia Department of Surgery | Northern British Columbia Fort Nelson, British Columbia | Canada | 2 months ago
multidisciplinary team Experience in research using relevant techniques will be an asset: cell or gene therapy culture ;Animal models of immune disease; Genome engineering Lipid nanoparticle technologies; Synthetic
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New York University Grossman School of Medicine (Torres-Vázquez lab) | New York City, New York | United States | 2 months ago
environment. Preference will be given to candidates with experience in: Evidence of experimental creativity. Zebrafish husbandry and experimental techniques. Confocal microscopy or live imaging. Genome editing
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Learning and Systems Biology, these advances will be applied directly to frontier problems in biology, from genome regulation to spatial proteomics, mass spectrometry, and protein design, using the unique
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-related metabolism, functional genomics, quantitative assay development, or integration of metabolic, proteomic and phenotypic data. This track is particularly suited for candidates with a PhD in cell