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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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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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Organisation Job description Project and job description This PhD position is dedicated to advancing autonomous robotic manipulation and control within a textile-sorting cell, where garments arrive
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this project, you will combine a deep knowledge of physical chemistry with robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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European CLARIFY project and continues this research with a postdoc, PhD student and lab technician. You will closely collaborate with clinicians to define clinically relevant questions, digitize pathology
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environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical
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under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials
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of quite some female postdocs and students. TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and
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another PhD candidate (on question modelling), a postdoc (on the GeoQA reasoning engine), and a technical assistant; evaluate the framework through user-centered scenarios in spatial planning