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for study sessions and documentation of experimental results. Job Description Primary Duties & Responsibilities: Assists research studies with implementation of: existing algorithms and computer software for
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areas like programming languages, algorithms, and theory. INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities
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areas, such as AI/ML algorithms and theory. We also encourage applicants with a strong computer science background and research in applied AI/ML to apply. This is a 9-month tenure-track position located
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algorithms. An understanding of when to apply what data-driven approach, from statistical techniques to generative AI models. Experience working with DOE National Laboratories (or similar R&D organizations
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bioinformatics, computational biology, and clinical genomics to assist in identifying, evaluating, and incorporating relevant algorithms and software. Educates and mentors colleagues, investigators, fellows, and
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start the development of a project. Develop cutting edge machine learning algorithms for various parts of the online system including perception, planning, and forecasting Identify data sets needed
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embedded controllers. Experience in evaluating converter topologies, developing control algorithms, and writing controller code is expected. Major Duties/Responsibilities: Conduct R&D projects and help
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experience will NOT substitute for education requirement. Preferred Skills Deep understanding of data structures, algorithms and design patterns (GoF) 8+ Years of Java, J2EE and web/internet/service based
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learning algorithm to analyze how experimental parameters ( 3D printing and electrospinning) affect the design. At least 3 semesters of FIU work experience or related experience outside the University with
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, technologies, models, and algorithms, and provide recommendations on their implementation. Sports Science Data Specialist II Responsibilities Assist in managing technological processes, conducting real-time data