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to an existing fleet-control system, while providing certified bounds on changes to closed-loop behaviour. The post holder will be a member of the Oxford Control Group and will develop new control architectures
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19 Sep 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Agricultural sciences » Agronomics Agricultural sciences » Phytotechny Engineering » Agricultural
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Demonstrated experience in control theory and control system design (e.g., model predictive control, feedback control, adaptive control) Experience applying machine learning/AI to engineering systems Proficiency
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to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license. About ORNL: As a U.S. Department of Energy (DOE) Office of
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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Control Engineering and Instrumentation are growing in importance due to the need for high-quality data and information to monitor, make decisions and take correct actions in almost every process that
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crop monitoring and decision-support systems for Controlled Environment Agriculture (CEA). This project focuses on the development, validation, and integration of non-destructive plant sensing
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Position Description Postdoctoral Research Associate, Boston University, Division of Materials Science & Engineering and Division of Systems Engineering Position Type: Full-Time, 1-Year Initial
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central Oxford We are seeking a full-time Postdoctoral Research Assistant to join Torr Vision Group at the Department of Engineering Science, central Oxford. The post is funded by Coefficient Giving
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. The position is intentionally interdisciplinary. We welcome candidates from control theory, nonlinear dynamical systems, applied mathematics, electrical or biomedical engineering, physics, computational science