275 computer "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions at Nature Careers
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, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline Creative, thoughtful, and a communicative collaborator Familiarity with
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in nanotechnology may also be considered. The Zhang laboratory functions as an integrated translational research program with the goal of designing and developing new immunotherapies and immunologic
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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The Microbiome Dynamics (MBD) department contributes, using computational methods, to the development of personalized microbiome-based strategies to aid in the detection, monitoring, treatment, and prevention
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Job Description We are seeking a highly motivated computational biologist to join our lab at St. Jude Children's Research Hospital to lead genomic and single-cell analysis for projects focused
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research group to study novel aspects of immunometabolism, tumor-immune cell interactions at the primary tumor and systemic sites in pancreatic cancer. Our state-of-the art research program utilizes
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary research network a comprehensive mentoring program with supervision by a team of advisors top
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, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics