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Field
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postdoctoral researcher will perform independent and directed research to achieve the objectives of the research project within the Department of Computational Medicine and Bioinformatics. The specific
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considered if willing to learn. Interest in tumor metabolism and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing
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strong background in computer science and bioinformatics analysis of large datasets. The applicant should be highly self-motivated and have a track record of publications (first-authored publications in
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postdoctoral fellow with expertise in one or more of the following areas: comparative genomics, establishment of novel or understudied laboratory model organisms, evolutionary biology, bioinformatics
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direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree in Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology
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Engineering, Pathology, Bioinformatics, Electrical Engineering or a related field. At least 5 years of research experience in biology or a related discipline. Publication record demonstrating computational
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spectrometry-based metabolomics and/or stable isotope tracing Familiarity or interest in cardiovascular biology, mitochondrial metabolism, systems biology, or bioinformatics/data analysis Enthusiasm
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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to independently work in a collaborative research environment are required. Preference will be given to individuals with hands-on experience in RNA and/or epigenetic technologies. Bioinformatics or animal management
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: Candidates must have an MD/PHD or Ph.D. or in Neuroscience, Bioinformatics, Biostatistics, or a related field prior to the start of the appointment Skills Requirements: • Prior experience in Alzheimer’s