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Research Studentship in Engineering 3.5-year D.Phil. studentship Project: Electronic-free Mechanical Oscillators for Fast Locomotion in Soft Robots Supervisors: Prof Antonio Elia Forte Soft robots
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interested, please send your complete application via email to dss at in.tum.de . As an equal opportunity employer, TUM explicitly encourages applications from women and all others who would bring additional
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related to staff position within a Research Infrastructure? No Offer Description Description The Electron Microscopy of Materials (EMM) unit at Linköping University invites applications for a PhD position
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The Innovative Electron Microscopy Department develops and applies electron microscopy methodologies for nanoscale and atomic-resolution characterization of soft functional materials and their
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to interface electron beams with the motion of a levitated solid object containing billions of atoms. By combining techniques from electron optics and optical levitation, you will achieve displacement sensing
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do at TU Delft. As a PhD student in our teams, you will investigate how to interface electron beams with the motion of a levitated solid object containing billions of atoms. By combining techniques
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27 Oct 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 2 Nov 2025 - 20:00 (Europe/Paris) Type of...
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for part-time and/or external study is obtained) start your degree by 1 March 2026 have a background in physics materials science nanotechnology electronic engineering. You should also have a clear
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We invite applications for a four-year PhD position in the field of Organic Electronics, with a focus on the development of a novel light-emission technology, termed the light-emitting
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven