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» Control engineering Computer science » Cybernetics Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe
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manipulator system (UVMS) by investigating methods for Imitation Learning (IL) and Reinforcement Learning (RL) to acquire manipulation skills and conduct dexterous grasping. PhD candidate will explore the use
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, scalability, and safety. The position targets innovative methods that enable drones to operate more effectively across large agricultural areas while reducing the need for manual intervention. Key research
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3rd May 2026 Languages English English English Would you like to explore AI methods for forest mapping? Two PhD scholarships: Remote sensing and AI for improved forest mapping and precision forestry
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separation and destruction of per- and polyfluoroalkyl substances (PFAS) using a combination of electrochemical and ultrasonic methods. Are you motivated to take a step towards a doctorate and open up exciting
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at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems through close
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of and interest in physiology, ethology and animal welfare Experience with data management and statistical analysis. Strong interest in data analysis and statistical methods will be emphasized. Interest in
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systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
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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
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challenges. The final research focus can be adapted to your background and interests, and may be related to some of the following topics: Generative methods for design documentation, including automated