12 computer-algorithm-"St"-"https:" Postdoctoral positions at University of Maryland, Baltimore in United States
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computational biologist or bioinformatician with strong programming skills and a firm background in microbiology. Candidate should have experience leading projects, writing manuscripts, and contributing to grants
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Postdoctoral Position in Microbiome, Bioinformatics, and Computational Biology - (250000Y1) The Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute of Genome Sciences
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are currently recruiting motivated Postdoctoral Fellows with a Ph.D., M.D. (or equivalent) and a background in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields. Candidates who
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for postdoctoral researcher position to conduct collaborative research aimed at the development of novel data mining algorithm to neuroimaging, genetic, and clinical data for brain disorders such as
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. Qualifications a. Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining
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PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance
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which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology, and/or basic immunology to apply for the following
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, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI
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experimental procedures and results in a detailed laboratory notebook and computer databases. Analyze data using statistical software. Prepare graphics to present data at conferences and in manuscripts
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experience, the applicant can expect to receive career mentoring from faculty of various backgrounds (clinical and fundamental science) in developing a research program, writing research proposals, and to