55 lecturer-in-computer-science Postdoctoral positions at University of Maryland, Baltimore
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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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the first authorship in a peer-reviewed publication. While expertise in T cell biology, radiolabeling, biostatistics, and animal handling is advantageous, it is not mandatory. Opportunities: You will join a
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microbiology, bacteriology (BSL2), molecular biology, cell culture, microscopy, and statistical analysis, and expertise in either infectious disease research. We are looking for someone with an interest in basic
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scientists with PhD and/or MD in an appropriate field. Experience in molecular biology, biochemistry, molecular genetics, mouse behavioral assays as well as willingness to learn associated areas are positives
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possess strong communication and organizational skills. Qualifications a..Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is
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at the University of Maryland, School of Medicine is an interdisciplinary, multi-departmental team of collaborative investigators with a broad research program related to the basic and translational sciences
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Post Doctoral Fellow - (240000HY) Postdoctoral Fellow- Orthopaedic Surgery/Tendon Biology The Department of Orthopaedic Surgery at the University of Maryland School of Medicine is recruiting for a
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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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to screen for effective drug therapies to combat these and other CaV 2.1 channelopathies. In addition, the successful candidate will be given opportunity to develop an independent research program
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sequence data, epigenetic and clinical data, using machine learning to identify biomarkers, and developing polygenic risk scores. These studies aim to uncover the underlying biology of disease development in