12 algorithm-development-"Multiple"-"Prof"-"Prof"-"Newcastle-University"-"U.S" Postdoctoral positions at Case Western Reserve University
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will work on multiple projects funded by NIH/NHGRI. The objective of the position is to develop novel statistical methods and computer software and analyze large scale biological data from biobanks
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development, immunotherapy, spatial multiomics, and brain tumor biology. This position offers an exciting opportunity to advance translational research using cutting-edge spatial transcriptomic and proteomic
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with other PI's in Pathology and school of medicine including collaborations with a multidisciplinary team of biologists, chemists, physicists and clinicians. The qualified candidate will prepare manuscripts
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, including collaborations with multidisciplinary teams. The qualified candidate will prepare manuscripts and contribute preliminary data, background, significance, and experimental design for grant proposals
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with other PI's in Pathology and school of medicine including collaborations with a multidisciplinary team of biologists, chemists, physicists and clinicians. The qualified candidate will prepare
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with other PI's in Pathology and school of medicine including collaborations with a multidisciplinary team of biologists, chemists, physicists and clinicians. The qualified candidate will prepare
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of DOES safety rules and record keeping. This position will establish new techniques in the laboratories and train technicians, graduate students, and post-doctoral scholars in their utilization. The lab
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responsibilities of the postdoctoral scholar are: 1) Using several existing long-term data sets, conduct analyses and prepare manuscripts about amphibian population dynamics, movement and phenology. 2) Take a
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Aerospace Engineering and the Great Lakes Energy Institute (GLEI) by contributing to the funded effort to develop curriculum in support of a Hydrogen workforce, and advancing team science through mentorship
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implementation of innovations in community prevention and clinical care. Postdoctoral scholars will focus on extending the development and application of a general framework for modeling and statistically testing