38 cloud-computing "https:" "https:" "https:" "St" "St" "St" Fellowship positions at Nature Careers in United States
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experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and
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Job Description The Department of Psychology & Biobehavioral Sciences at St. Jude Children's Research Hospital is seeking outstanding candidates for postdoctoral fellowship opportunities in
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Job Description SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical
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Postdoctoral Research Fellow - Computational Biologist Dana-Farber Cancer Institute Boston, MA Full Time Overview The Collins Genomics Lab at Dana-Farber Cancer Institute seeks a POSTDOCTORAL
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other cancers, brain cancers are stubbornly resistant. The College of Pharmacy and the Watson Lab is recruiting a computational postdoctoral fellow to help crack this problem using the latest approaches
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SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical informatics and
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with cloud computing Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students joining the group as described above
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The Jiang Lab (https://labs.icahn.mssm.edu/jianglab/) at the Icahn School of Medicine at Mount Sinai, New York is seeking a highly motivated postdoctoral fellow with expertise in genome editing
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cancer, we have developed a comprehensive pipeline going from molecular genetics to the clinic. The Brugarolas lab is also the hub of the Kidney Cancer Program (https://kcp.utsw.edu/ ), one of two
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro