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You will be responsible for the work on motion planning for mobile manipulation and collaborate with two PhD students within the context of ERC project "INTERACT". Mobile robots are not yet capable
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Delft as well as in collaboration with the project partners. As candidate, you have a PhD degree in electrical engineering, materials engineering, micro/nanoengineering, physics or related fields. We
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and variable generation. Essentials: A PhD degree in a field with a strong emphasis on computer science, modelling and algorithms. Relevant mathematical frameworks include simulation modelling
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in the pursuit of our ambitious goals. And you will get all the support and training you need for your personal and professional growth. You hold a PhD (or will soon complete) in (bio)physics or a
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. Demonstrating autonomous barge performance and barge fleet operations, with respect to assessment of the developed algorithms using model scale vessels in controlled lab environment. You have a PhD degree or
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a PhD in aerospace engineering, applied mathematics, mechanical engineering or other related fields. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and
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instrument scientist position within three years. You hold a PhD in a subject related to physical science, life science, materials science, engineering or another relevant field. You have experience in
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. Candidates for this challenging project should have a PhD degree and background in e.g., systems and control, computer science, applied mathematics, electrical engineering, mechanical engineering, or chemical
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. The project builds on the lab's track-record in the field of computational imaging techniques for super-resolution microscopy. We are looking for a candidate with a successfully completed PhD-project in
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, signal processing and animal heatlh to integrate your chip(s) in live demonstrators that will be tested in the field. Required: PhD degree in mixed-signal IC design. Proficient with Cadence Virtuoso ADE