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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
, Artificial Intelligence, Neural Networks, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience in writing grant
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in bioinformatics analysis is highly desirable. Excellent problem-solving and critical thinking skills. Excellent communication skills and ability to collaborate effectively within interdisciplinary
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determinants of health, and integrative bioinformatics strategies, with a special focus on AI/machine learning approaches to derive new clinical insights at scale. Basic working knowledge or publication track
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construction of proteins that transfer electrons (i.e., oxidoreductases). It is expected that the Postdoctoral Associate will have expertise in several of the following areas including bioinformatics
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research in systematic biology. Skills required include bioinformatics, genomics, data science, artificial intelligence, mCT scanning, knowledge of bat biology, and multivariate statistics. Post Doctoral
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includes a diverse team of researchers working on crop breeding, genomics, genetics, curation, and bioinformatics. This is a benefit eligible, non-tenure track position available for two years. The project
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have prior experience in bioinformatic analysis as described in the job description. The post holder provides guidance to junior members of the research group including research assistants, PhD students
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly talented and
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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accumulation in grains and vegetables, genotype by environment interactions using molecular biology, quantitative genetics, and bioinformatics methods. Nutrition-centered preclinical and human studies