82 computer-programmer-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Rutgers University
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communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory
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. This postdoctoral associate position will be housed in the Department of Plant Biology at Rutgers University, New Jersey in Vaccinium breeding program of Dr. Gina Sideli. This position will also work with Rutgers and
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various genomic datasets Effective spoken and written English required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP
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manages data collection, cleaning, and analysis for assigned projects. Manages various data projects (including data validation, cleaning, and transforming program administrative data), and collecting and
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practices relating to the education of young children birth to age 8 and those ages 3 to 5, in particular. Equipment Utilized Computer literacy including spreadsheets, webinars, and statistical programs
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renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in LGBTQ+ public health research
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at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
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study the role of mTOR kinase in growth control and anticancer mechanisms. In addition to this focus, the Postdoctoral Associate is expected to establish an innovative, collaborative research program
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research program addressing important and fundamental questions. To support this effort, interdisciplinary and translational approaches are encouraged. Qualified candidates must be a recent recipient of a
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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and