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. • Electric drive automation. • Matlab. • Artificial intelligence methods. • Computer-aided design of control systems. • Programmable logic controllers. - conducting scientific research in the field
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License/Registration/Certification n/a Physical Requirements Some standing or walking. Sitting at computer workstation for extended periods. Repetitive motion. Lifting, pushing, or pulling of objects up
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» ERC StG project of Prof. Gergely Neu along the following lines: Develop a framework for analyzing instrumental-variable regression methods such as two-stage regression estimators or saddle-point
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1 Apr 2026 Job Information Organisation/Company University of Beira Interior Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other Researcher
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Carolina, US Hiring Range $32.00 per hour Proposed Start Date Estimated Duration of Appointment 6 months not to exceed 11 months Position Information Be a Tar Heel! A global higher education leader in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Location North Carolina, US Hiring Range $35.45 per hour Proposed Start Date Estimated Duration of Appointment 6 months not to exceed 11 months Position Information Be a Tar Heel! A global higher education
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state-of-the-art statistical and mathematical methodology to improve understanding of epidemic dynamics and control. They will work on one of the new projects starting in the Unit, including i) analysing
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will have the objective of developing models for estimating and predicting the yields of targeted crops in Africa. Main responsibilities: The selected candidate will be expected to: Collect the data
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. What are you going to do In this role, you will: write computer code, using both C++ and R, to refactor lavaan’s internal processes, to improve speed, modularity, and scalability; investigate diagnostic
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to work on cutting-edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute