1,545 professor-computer "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Nature Careers
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Faculty Position – In-Residence Endowed Professorship in Biocomputing, Visualization, and Informatics Department of Pharmaceutical Chemistry School of Pharmacy University of California, San
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280 international programs of different types. The University has currently established four world-classdisciplinary groups: computer data science, materials chemistry, biomedical science, and economics
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: https://ie.univie.ac.at/en/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after doctoral studies Outstanding research achievements, excellent
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our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion For more information about career opportunities in Springer Nature please visit https
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Job Description SJCRH The St. Jude Affiliate Program is seeking a faculty member to serve as the program rotating physician. The St. Jude Affiliate Program is a network of clinics, hospitals, 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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official approval for its establishment in April 2024 and successfully began recruiting high-caliber students the same year. The university currently offers four undergraduate programmes.: Computer
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-time tenure-track faculty position as an Assistant Professor supported by the Simons Empire Faculty Program. We seek scholars who carry out innovative, rigorous, and impactful research in neuroscience
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Rutgers Cancer Institute is growing! We invite applications for an Assistant or Associate Professor level, tenure track faculty position with a research focus in cancer pharmacology, including drug
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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