366 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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requiring VISA sponsorship*. Fellows must enroll in the program between July 1, 2026 and January 1, 2027. Applicants may submit an application prior to defending their Ph.D. but must complete their Ph.D. and
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staining methods. Basic understating of command line tools and experience running commercial pipelines such as Cell Ranger and Space Ranger using both cloud applications and computational clusters
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We are seeking a highly motivated and creative candidate for a fully supported postdoctoral fellowship to develop immune-based therapies. Specifically, the research is aimed to develop cell-based immunotherapies for pediatric tumors. Studies are focused on using genetic engineering approaches to...
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As part of its commitment to expand its world-recognized high intensity laser science and technology program with applications that include laser-matter interactions, the Department of Electrical
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Job Description Title: Associate or Senior Editor, Nature Computational Science Organization: Nature Portfolio Location: Shanghai, Beijing, New York or New Jersey - Hybrid Working Model Closing date
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Title: Associate or Senior Editor, Nature Computational Science Organization: Nature Portfolio Location: Shanghai, Beijing, New York or New Jersey - Hybrid Working Model Closing date: January 5th
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The Department of Molecular Biophysics & Biochemistry (http://mbb.yale.edu/ ) at Yale University invites applications for a tenure-track or tenured faculty appointment in Computational Biophysics
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We are recruiting highly motivated individuals, committed to clinical excellence, to join our growing Hospitalist Medicine Program as a member of the clinical faculty. The rapidly expanding
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; https://www.yinangong.com ), and Dr. Fotis Nikolos (DoD Career Development Awardee), with opportunities to participate in national consortiums and building new program projects. Generous recruitment
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implementing computational schemes for ODE and / or PDE based models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com