27 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "CMU Portugal Program FCT" Postdoctoral positions at University of Maryland, Baltimore
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between various imaging modalities and multi-omics during aging and development. • Implementing computationally intensive algorithms on high-performance computational clusters
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through Taleo : https://umb.taleo.net/careersection/jobdetail.ftl?job=240001UW&lang=en Qualifications The position is subject to a background check. Applications from women, minorities, and persons with
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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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@som.umaryland.edu . In addition, you must upload your application through Taleo : https://umb.taleo.net/careersection/jobdetail.ftl?job=240001FZ&lang=en Qualifications The position is subject to a background check
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@som.umaryland.edu . In addition, you must upload your application through Taleo : https://umb.taleo.net/careersection/jobdetail.ftl?job=240001UW&lang=en Qualifications The position is subject to a background check
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to Dr. Miroslaw Janowski at Miroslaw.janowski@som.umaryland.edu . In addition, you must upload your application through Taleo : https://umb.taleo.net/careersection/jobdetail.ftl?job=240001FZ&lang=en
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, M.D., Associate Professor of Pediatrics and of Medicine; Co-Director of the Immunoepidemiology and Pathogenesis Unit within the Malaria Research Program: mtravass@som.umaryland.edu . Further information
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integration of transplanted stem cells. We expect the fellow to be highly motivated, independent and innovative. The applicant can expect to receive career mentoring from faculty of the Program of Image Guided
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development. * Implementing computationally intensive algorithms on high-performance computational clusters. * Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target