21 genetic-algorithm-computer-"UCL" Postdoctoral positions at University of Maryland, Baltimore in United States
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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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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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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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dynamics of grafted neural stem cells (human iPSC-derived neural progenitors) and interactions with host environment through genetically encoded probes. We will employ multi-disciplinary approaches including
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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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of Maryland-Baltimore as of June 1, 2018. MD, PhD or MD/PhD scientist is sought to join the emerging field of chemical genetics. The Hong lab has identified a number of small molecules that specifically
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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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. graduate with a strong background in molecular and cell biology, genetically altered mouse models, animal physiology, and metabolic phenotyping of mice. Candidates with additional experience in the following