215 computer-algorithm-"University-of-Bristol" Postdoctoral positions at Nature Careers
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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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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for analysis of complex systems, in particular towards the identification of regime trends and tipping points Deduce hypothesis on the principles of system evolution and development Build computational models
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entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our
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retinal tissue biopsy. The project is funded by the Emmy Noether programme of the German Research Foundation (DFG) for a three-year period, with the possibility of an additional three years. We offer: a
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in
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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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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in system