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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
. The successful candidate will work in conjunction with Center Principal Investigators and data managers to design, develop, test, and deploy software systems and cloud-computing tools. They will work closely with
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Learning algorithms (clustering algorithms (K-means), genetic algorithms, and reinforcement learning) and end-user piloting of software systems – including technical attributes and legal/commercial
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-aware AI, HR analytics and logistics, optimisation techniques for labour and warehouse management. Experience of applying Machine Learning algorithms (clustering algorithms (K-means), genetic algorithms
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predictive algorithms, and communicate findings in impactful and socially responsible ways. Position summary: The main role of this position is to co-design and implement advanced research and computational
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mathematical subjects related to computer science, such as discrete structures, analysis of algorithms, artificial intelligence, and the theory of computation. Practical software development experience
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analysis pipelines. Skills and knowledge needed for this position include scripting and computer programming, bacterial genomics, and evolutionary biology and/or population genetics. Responsibilities Dissect
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implement optimization models tailored to transportation and logistics contexts. Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real
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labs addressing leading edge questions in biology and medicine by developing and applying genetic, genomic and computational approaches taking advantage of genomic information now available for a host of
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and policy communications at the intersection of technology, social science, law, computer science, and public policy. The Research Analyst role is designed for an early career professional with a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
development and evaluation of algorithms and software systems that advance these practices in support of artificial intelligence. Education and Experience: Experience implementing informatics/bioinformatics