85 postdoc-parallel-computing Postdoctoral research jobs at Nature Careers in United States
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to prevent the onset of cancer. In parallel, our research is dedicated to advancing our understanding of bladder tumor evolution biology through the analysis of next-generation sequencing (NGS) data and the
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St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32 training program
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generating and evaluating human or murine immune cells, gene editing, single cell transcriptomics, flow cytometry, and murine solid tumor models. Eligibility Applicants should be prospective postdocs or in
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Postdoc Positions in Diabetes Research (Biology) and Drug Discovery (Medicinal Chemistry) at University of Alabama at Birmingham (UAB) Two research positions are available in the Wang lab
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We invite applications for a NIH-funded postdoctoral researcher position in our computational lab at UMass Chan Medical School. We develop methods to reconstruct multi-modal, condition-dependent
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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. Description We are looking for a postdoctoral computational biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel
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are desirable, but not required. You have good communication skills, are a team player, and are proficient in English What we can offer you We offer a 3-year postdoc position contract A multidisciplinary, highly
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, require limited supervision and high-level of independence are highly desirable. About the lab and St. Jude: Our lab focuses on computational methods development and large-scale genomic/genetic analysis
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time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process, organize, interpret, review