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to independently work in a collaborative research environment are required. Preference will be given to individuals with hands-on experience in RNA and/or epigenetic technologies. Bioinformatics or animal management
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organoids will be plus. Dry lab: Highly motivated candidates with a PhD/MD degree in bioinformatics, genome science, systems biology, biomedical informatics, computational biology, machine learning, data
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A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center
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are applying for. Find descriptions of the vacant positions below. Position 1: Postdoctoral Fellow in Microbial Ecology We are seeking a colleague with expertise in microbial ecology and bioinformatics
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and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and integrating molecular data. About
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, spatial transcriptomics, advanced bioinformatics, organoid co-culture systems, and intravital imaging, to explore: How the intestinal mucosa adapts to diverse environmental stimuli. The influence of aging
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bioinformatics and/or biostatistics Experience working with large-scale datasets and longitudinal data Experience with machine learning and/or AI We are looking for curious and motivated candidates with expertise
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strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
myocarditis and vaccine-induced immune thrombotic thrombocytopenia. The successful candidate would be expected to have a strong foundation in genetics and/or genomics. Experience in pharmacology, bioinformatics
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genetics of disease models, human pluripotent stem cells derived neurons, high content imaging, electrophysiology, single cell RNA sequencing, bioinformatics, and spatial transcriptomics technologies. We