411 professor-computer-"https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Nature Careers
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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Professors. Further information about the Faculty Global Talent Recruitment Scheme is available at https://www.med.cuhk.edu.hk/about-us/career. Strategic Recruitment Areas Applications are especially
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Employee assistance programme: Staff Support Service Discounted medical insurance Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity
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The Institute of Medical Biology Chinese Academy of Medical Sciences (IMBCAMS) has launched the global recruitment program of tenured/tenure-track professors and outstanding postdoctoral researchers
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
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application instructions), please visit: https://www.mpg.de/en/max-planck-postdoc-program . To submit your application online, please visit: https://postdocprogram.mpg.de The application deadline is April 13
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Computational Neurogenomics / AI - Postdoctoral Associate Yale School of Medicine | Adams Center for Parkinson’s Disease Research | New Haven, USA Join a mission-driven team at Yale to build a
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
Postdoctoral Positions: Computational Genomics · AI-Driven Precision Oncology · Translational Cancer Biology Wang Laboratory, UPMC Hillman Cancer Center Department of Pathology and Human Genetics
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for a highly motivated postdoctoral research fellow who is equally adept at applying wet lab-based experimental approaches and high-dimensional computational analyses to study disseminated tumor cell
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https