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DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of corrosion fatigue life
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Job Description DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation
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application (max. one page) 2. CV incl. education, experience, language skills and other skills relevant for the position 3. Certified copy of original Master of Science diploma and transcript of records in
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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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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
, gases and applied potential conditions. The project will also include the development of advanced simulation models to characterize and predict moisture transport through gel substrate and interfacial
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. We are a team of currently about 20 researchers, engineers and PhD students, specialized in robot solutions involving modelling, simulation, and control of advanced robot technologies (systems and
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of autonomous behavior and their representative demonstrations in challenging simulation environments. IMADA has the unique feature of bringing mathematicians and computer scientists together within a single
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application in English (max. one page) CV incl. education, experience, language skills and other skills relevant for the position Certified copy of original Master of Science diploma and transcript of records
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measurement techniques/ sensors. Experience with system modelling and simulation (e.g., TRNSYS, Python, or similar tools). System and control engineering (e.g. digital twins, model predictive control) –pre