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Field
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and rehabilitation. The successful applicant will have the following technical experience in: PhD degree in
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time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC
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within the Physical Vision Group (PVG, https://physicalvision.github.io/ ). This will involve closely collaborating with faculty, postdoctoral researchers, and PhD students, bridging foundational
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engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and
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Research Fellow in Multisensory Networked Interactions with Robotics Avatars Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow in Multisensory
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(or similar) for modeling and simulation, and Microsoft Office Suite (intermediate to advanced level). Specific Requirements PhD degree in Mechanical Engineering or Mechatronics and Robotics (or a closely
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PhD degree in Production Engineering, Mechanical Engineering, Automation, Robotics, or another relevant technical field. The applicant must have completed the degree no more than three years before
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https://academicpositions.com/ad/eth-zurich/2026/phd-positions-in-neurotechnolo… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research FieldEngineeringYears of Research
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics