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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
) Work Unit Bioinformatics and Genomics Work Location NC Research Campus Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40 hours per week
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made by the Department Chair. The post-doc will typically teach 2 classes per academic year for the duration of the position. A post-doctoral fellow will conduct research in collaboration with the CIS
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 24-Jun-25 Location: Boston, Massachusetts Categories: Staff/Administrative Internal Number: 2025-45236 The Schneider
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(CGEOINT) Postdoctoral Research Fellow works as part of a team of graduate students, post docs, and faculty on research projects related to large-scale urban simulations and geospatial machine learning
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gatherings as well as colloquia and other talks. We are proud, in STS, of thoroughly enmeshing Postdocs and visiting scholars in the daily life of the department: isolation—particularly for post-docs—is a real
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to learn and master CAPS computer software such as PNC and other software as needed (Preferred) Strong interpersonal skills - Required Demonstrated ability to work as part of a mental health team in
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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machine learning model development; Experience designing research projects and managing project delivery; Experience processing, documenting, and analyzing data sets; Ability to excel in a highly
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properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 15th August 2025 Languages English English English PhD Research Fellow in Machine Learning Apply for this job See
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servicing missions. Experience with machine learning techniques for robotic decision-making and intelligent control for tasks with high uncertainties. Experience with research on multi-agent collaboration and