278 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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A brand-new two-photon microscope is ready to drive discovery—and we’re looking for a highly motivated Postdoctoral Fellow to join our NIH-funded research program at the Medical University of South
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education and past and previous employments. A list with your publications. A copy of the PhD certificate and other relevant degree certificates. Names and contact details with e-mail addresses of two
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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significant computational and systems immunology approach with collaborators. You will join an outstanding, collaborative, and supportive group within the Meyer Cancer Center, the Englander Institute
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, or medicinal and analytical chemistry. These positions present exceptional opportunities to partner with an outstanding clinical urology program in a new institute dedicated to rapidly translating basic
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applications in fundamental research, biotechnology and synthetic biology. Our multidisciplinary research combines high-throughput genome editing, state-of-the-art genomics methods, and computational biology
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biology, computational biology, in vivo models of disease, and pre-clinical study development. You will have the opportunity to develop and lead projects using several cutting-edge model systems including
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- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
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stem cells Develop computational approaches for integrating metabolomics, transcriptomics, and genomics datasets across development and disease Candidates must hold a Ph.D. and/or M.D. degree with a
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have a Ph.D. in biology or computational biology. Special Skills, Knowledge, and Abilities: Experience in cell culture, epigenomics/transcriptomics, Western blotting, flow cytometry, and/or cell culture