1,009 professor-computer-"https:"-"https:"-"https:"-"https:"-"Keele-University" positions at Nature Careers
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program with a clear cancer relevance Strong publication record demonstrating originality and scientific rigor appropriate to rank level For mid Assistant/Associate/Full Professor Rank, NIH/NCI funding as
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of Computational and Molecular Prevention (headed by Prof. Dr. Filimon Goncalves) is seeking for the next possible date a Postdoctoral Researcher – Computational & Translational Analysis of Pulmonary Nodules
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This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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Ragon Institute of MGH, MIT and Harvard and the Department of Immunology Harvard Medical School Computational Immunologist The Ragon Institute of Massachusetts General Hospital, Massachusetts
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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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Job Description St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in the Childhood Hematological Malignancies Training Program. This prestigious, NIH-sponsored T32
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The Director Computational Research leads and manages large/critical complex areas or teams within the department related to Computational Research. Contributes to the overall research strategy and
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The Université de Sherbrooke is proud to take part in the 2026 competition of the Canada Impact+ Research Chairs Program. We are inviting new applications from the international scientific community
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computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial