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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring undergraduate and graduate researchers in
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
of executive control, and contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including “big data” statistical methods, machine learning
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post-Doctoral Researcher Department: EHE
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, leadership, and data science. Special training for writing successful ERC Starting Grants as a ‘ticket’ to an outstanding academic career. Being part of a thriving academic and social community in Vienna, one
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Position Details Position Information Recruitment/Posting Title Post Doctoral Associate (Ebright) Department Waksman Inst of Microbiology Salary Details Offer Information Benefits Rutgers offers a
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space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer science, or other relevant fields and strong interest in technical and policy research
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to commercialization (business incubators, large corporations, investors, national labs, etc.) to develop and implement activities that increase the number of innovative and impactful energy technologies transitioning
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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biochemistry techniques in weed science is essential Ability to use R statistical program or python is required Expectation of experience in computational tools and unix for analyzing and visualizing large data