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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
periconception through aging. Our Mission is to lead precision nutrition research through understanding how genetics and environment affect an individual’s requirements for and responses to nutrients. NRI
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collection on medical history, lifestyle and nutritional habits, vitals, anthropometrics, blood tests, continuous glucose and sleep monitoring, and multi-omic molecular profiling, including genetics
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system stability. Candidate will also develop robust control strategies for inverter-based resources, and conduct hardware experiments and hardware-in-the-loop testing to validate the control algorithms
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Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and
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graph-based algorithms for genetic data. The specific project involves understanding the unique evolutionary histories of diverse populations, both in humans and other species. The research specialist
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
models. Increasing the performance of integration algorithms and model simulations, and developing machine learning methods for analyzing genomic data. Where to apply Website https://system.erecruiter.pl
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(Networks, Operating Systems, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.) Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub
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Department's Website: https://engineering.uark.edu/ Summary of Job Duties: Collaborating closely with Dr. Richardson and students in our group, the Postdoctoral Research Associate - Chemical Engineering will
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: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage