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, and digestive diseases, to genetics, genomics, neurosciences, and women's health. You can continue your career journey with us! The Slomka Laboratory focuses on developing innovative methods for fully
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cellular biology. His research integrates systems biology, mathematical modeling, bioinformatics, algorithm development, and the creation of open‑source software designed for broad usability. Benefits
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via bitbucket). Backup code on bitbucket and oversee the revision of the code to integrate with other algorithms. Algorithm development initially will involve solving problems such as: (1) base calling
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: *Back-end Java development *Front-end UI development *Signal processing algorithm development This position will work on all phases of software application development ranging from requirements gathering
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, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health
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, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health
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optimize algorithms for data-intensive research. Deploy and maintain systems in both simulated environments and on physical hardware. Diagnose and resolve complex system and software issues. Execute feature
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• Produce research products such as well-documented algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical