121 computer-science-programming-languages-"O"-"O" Postdoctoral positions at Rutgers University
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functioning of their biomedical research laboratory, and to fulfill the research and teaching requirements of the Rutgers IRACDA, INSPIRE Postdoctoral Training Program. Among the key duties of this position
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research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics, biochemistry, cell
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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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, computer science, or a related field. Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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to a research program on star formation, galaxy formation, the interstellar medium, and fluid dynamics. The successful candidate will be expected to work on all or a subset of the above topics, be
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate Department SEBS - Environmental Science Salary Details 68,000 Offer Information The final salary offer may be
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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inference methods in these data, assemble and summarize relevant literature, and will be encouraged to develop their own independent research program in maternal and child health and/or housing and