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Position Summary: Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering
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Frequency Lattices and RF-Controlled Comb Dynamics Our group investigates new ways of controlling and confining electromagnetic waves through time as an active design dimension. Rather than engineering wave
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Job description Recent trends in Controlled Environment Agriculture (CEA) development, design, and operations related to energy saving and greenhouse gas emission reduction, are mainly focused
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
Job Code: Application for PhD-3: Insula Job Offer from August 21, 2026 How do internal bodily states shape cognitive control? This interdisciplinary project investigates how the anterior insula
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of produced X-ray pulses per second by an order of magnitude. This upgrade introduces first-of-its-kind challenges in controlling superconducting radio-frequency (SRF) cavities, specifically their RF field and
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7 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Control engineering Engineering » Materials engineering Engineering » Mechanical
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primary regenerative braking. EMBs are highly sensitive to EV harsh operating conditions. This project addresses this challenge by developing AI-based EMB clamping force estimators and robust control
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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in partnership with SMS Group, a world-leading supplier of metallurgical plant and rolling mill technology. Project: Closed-Loop Electromagnetic Microstructure Control During Hot Strip Mill Run-Out
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic