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- Technische Universität Dresden (TU Dresden)
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Field
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modelling -individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile -PhD in computer science, physics, materials
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, materials science, computer science, imaging science, or a related field. Strong background in neutron imaging, X-ray imaging, tomography, image processing, computer vision, or related experimental
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IntCDC/ELLIS Independent Junior Research Group Leader (m/f/d, E14 TV-L, 100%) on Computer Vision for
research agenda. Applicants should have received excellent academic degrees in Computer Science and will contribute to the different project networks within IntCDC: https://www.intcdc.uni
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-based modelling -individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile -PhD in computer science
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length scales. Develop computer-vision / image-processing workflows for TEM videos, e.g. preprocessing, segmentation, tracking, event detection, and robust quantification under low SNR and imaging
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering , the Chair of Adaptive Dynamic Systems offers a
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, Bioinformatics, Computational Chemistry, Computer Science, or related fields of expertise very good programming skills (e.g., C++, Python, PyTorch) ability to collaborate well in an interdisciplinary
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instructions on our application platform: https://application.vc.in.tum.de/ TUM and VC & AI Lab: The Technical University’s computer science department is the Top-1 ranked computer science department in
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 15 days ago
, their achievements and productivity to the success of the whole institution.
At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of
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university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science