68 building-physics-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral positions in France
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subsequent PhD in computer science (or a related field). Rich experience in devising machine learning models, methods, and algorithms for computer vision, image processing, imaging, and/or physics
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoctoral Researcher in Computer Science Employer
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successful candidate will be part of a collaborative research center (CRC1451), located at the University of Cologne, that brings together neuroscientists investigating genetic factors, cellular and synaptic
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Your Job Building on in-house fabricated devices, we have recently demonstrated the ability to shuttle electrons between gate defined quantum dots in Si/SiGe over 20 micron-scale distances using only
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subsequent PhD degree in Nuclear Engineering, Computational Materials Science, Physics, Chemistry, or a closely related discipline Proven experience in mesoscale or engineering-scale modeling of nuclear
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-performance computing is an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific
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project will be realized in close cooperation between the JCNS at the Heinz-Maier Leibnitz Center in Garching and the JCNS institutes in Jülich and Aachen. The place of employment will be Aachen: Project
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Collaborate with interdisciplinary research teams and industrial partners Support proposal writing where appropriate Your Profile Completed Master's degree in Electrical Engineering, Physics, Materials Science
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feeds Postdoc offer on the physics of mechanical metamaterials H/F 113 / 761 vacancy Vacancy details Position description Category Condensed Matter Physics, chemistry, nanosciences Contract Fixed-term
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French National Institute for Health Research (INSERM) | L'Haÿ-les-Roses, Île-de-France | France | 7 days ago
processes drive tumor progression and clinical outcome. With the help of our recent ERC Starting Grant, we are building a multidisciplinary team at the interface of biology and physics, integrating