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that drive endothelial organ-specification and phenotype, and to use this knowledge to engineer organ-specific ECs. The obtained insights will be used to explore experimental approaches to control
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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, and reinforcement learning within the context of intelligent traffic control systems. This PhD is a joint project between Leiden University and Technolution, and a part of a larger research programme in
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relevant data for the above described technology development and its feasibility test, the PhD candidate will also design medical research experimental protocol for both healthy control population and target
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terms of profits, resource efficiency, and carbon footprint. This PhD position is a part of the LEAP-AI project that will address these challenges in autonomous greenhouse control. The project team
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5 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Researcher Profile First Stage
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17 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Control engineering Engineering » Electrical engineering Researcher Profile
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, materials science, or computer science with an interest in complex materials for computing and learning. Excellent candidates with training in any area of science or engineering will be considered. PhD
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do at TU Delft. As a PhD student in our teams, you will investigate how to interface electron beams with the motion of a levitated solid object containing billions of atoms. By combining techniques
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over the course of your PhD. Job requirements A master’s degree in mechanical engineering or a related field. Strong background in systems and control. Interest in building state of art sensitive