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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised
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biology, bioinformatics, computer science or a related discipline, being experienced in bioinformatics, (meta)genomic data, and microbiology. Specifically, knowledge in AI, machine learning, microbial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
or greater of relevant experience in substitution. Required Qualifications, Competencies, and Experience Former Military personnel with knowledge of North Carolina military installations. Experience with
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
selective, competitive higher education setting, including knowledge of college student development theory, as well as frameworks and best practices related to veteran and military connected students. Proven
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at the undergraduate level, or a Ph.D. in STEM Education or a related field focused on undergraduate teaching and learning with content knowledge in Mathematics, Astronomy, Biology, Chemistry, or Physics. Job Specific
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of analytical chemistry and machine learning. For more information please contact Prof. dr. Deirdre Cabooter, mail: deirdre.cabooter@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite
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these limitations, we research a physics-guided machine learning framework that integrates physical knowledge with data-driven methods. Physical knowledge includes, among others, kinematics and the dynamics
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-affiliated students. The division supports research initiatives and creative activities that serve the needs of the region and state, strengthen programs and student learning, and enhance faculty expertise and
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computing platforms, containerization/orchestration tools for ML workflow management and scalability. Specialized knowledge in at least one domain: NLP, computer vision, reinforcement learning, or scientific
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the knowledge acquired during the PhD with team members and acquire new knowledge. - Engage with the Local team at LIPN and the wider national community working on proof theory, programming languages and