5,983 phd-scholarship-for-solid-mehanical-engineering-in-image-processing Postdoctoral research jobs
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will join the Molecular Imaging and Radiobiology team
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to interact and collaborate to develop robust ways to decode single molecule imaging data. Your profile The candidate should hold a PhD in biophysics, chemistry, nanoscience or related subjects and have a
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surgery and augmented reality–enhanced robotic imaging. Duties & Responsibilities Conduct and support research in tele-robotic surgical systems and augmented reality–guided robotic imaging. Collaborate with
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is available for the design, licensing and operation of MSRs and other energy systems. Develop and perform laboratory tests and electrochemical operations with molten salts that may contain actinides
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scientific and technological dissemination activities. Mandatory requirements: PhD in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, or related fields. Preference will be
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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Requirements: PhD in Biomedical Engineering, Electrical Engineering, Neuroscience, Computer Science, Psychology, or closely related field Demonstrated MEG analysis experience (FieldTrip/Brainstorm/MNE-Python
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unique opportunity to contribute to a pioneering platform that could transform process-scale chemistry in the pharmaceutical and agrochemical industry, combining hands-on engineering with cutting-edge
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Coherent Diffraction Imaging (BCDI), ptychography, and X-ray Photon Correlation Spectroscopy (XPCS). The goal is to move beyond simple correlations to discover the causal, governing rules of defect-property