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Description The Center for Advanced Microbiome Research and Innovation (CAMRI) within the Institute of Genome Sciences (IGS) is recruiting a postdoctoral fellow, to join the laboratory of Jacques Ravel studying
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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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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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-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences, genomics, epigenetics, and bioinformatics. The impact of the members of IGS
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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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. degree from an accredited university in biomedical engineering, electrical engineering, neuroscience with interest in imaging sciences or related field. The successful candidate will be self-driven
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environment that has earned an international reputation for genetically engineering and testing vaccines against a wide variety of enteric and other infections, including malaria, COVID-19 and influenza. Based
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for postdoctoral scholars to advance implementation science for intervention research focused on improving behavioral health service systems treating individuals with serious mental illness and opioid use disorder
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of Maryland School of Medicine, Center for Stem Cell Biology & Regenerative Medicine and Department of Diagnostic Radiology and Nuclear Medicine, for ongoing laboratory research on neural stem cell labeling
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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