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-on experimentation with advanced digital fabrication, numerical modelling, material testing, and process optimization. You will work on the fabrication and mechanical characterization of composite specimens with
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is expected to have a profound knowledge on most of the following topics: Robot control Deep Learning Medical imaging Preferably, the candidate has experience with: Robotic simulation tools Medical
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/Postdocs and more senior scientists within the MicroAM project. Responsibilities and qualifications If you are you interested in numerical simulations of advanced manufacturing processes which involve
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characterization techniques such as atomic-force microscopy or scanning electron microscopy. Experience with simulations of photonic nanostructures will also be highly valued. You should have a Ph.D. degree (or
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surgical robots across various surgical applications, using techniques such as advanced sensing, AI-based and reinforcement learning (RL)-based control, and soft continuum robot simulation. The starting date
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and reinforcement learning (RL)-based control, and soft continuum robot simulation. The starting date is expected to be February 15, 2025, or as soon as possible thereafter and will be agreed with
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in a variety of lossy media. The project will give you an opportunity to work with theoretical, numerical and experimental aspects of machine learning assisted design of antennas and metasurfaces
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is primarily externally funded and engaged in numerous strategic research projects supported by various sources, including EU projects, national strategic research and innovation projects, private
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, the candidate has experience with: Robotic simulation tools Medical applications Sensors and actuators Scientific writing and presentation Furthermore, the successful candidate is expected to: Have excellent
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chains. SDU TEI is situated in a region with a robust network of companies, including some of Denmark’s largest global industrial players, such as Danfoss, Linak, and Siemens, as well as numerous SMEs