656 computer-programmer-"U.S"-"University-of-St"-"U"-"U.S" Fellowship positions in United States
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science, engineering, applied mathematics, statistics, mathematical physics, engineering, or related disciplines. Fellows are expected to carry out an active research program that can be independently directed and/or
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, computer science, engineering, mathematical physics, or related disciplines. Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration
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Skip to main content Recruit Home Open Recruitments Postdoctoral Fellow, Bioinformatics, Brain Tumor Drug Discovery and Development Program (JPF10295) Postdoctoral Fellow, Bioinformatics, Brain
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mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Fellows are expected to carry out an active research program that can be
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Flatiron Research Fellow, Genomics, Center for Computational Biology Our Commitment to Expanding Pathways to Science & Opportunities for All: Many of the greatest ideas and discoveries come from a
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graduate degrees in 198 program areas. UCLA has 11 highly regarded professional schools. Eight are ranked among the nation's top 15 in their field by U.S. News & World Report. UCLA is consistently among
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, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Fellows are expected to carry out an active research program that can be independently directed and
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/~wwang7 . Position Title: Postdoctoral Fellow in Cancer Computational Biology Program/Position Description: Analyze next-generation sequencing (NGS) data, including: Develop computational and statistical
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out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows
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POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Collins Genomics Lab to lead pioneering studies of genetic risk for cancer based on large-scale genome sequencing datasets towards the ultimate goal