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Portal https://securemail.tu-dresden.de by sending it as a single pdf file to uwe.hampel at tu-dresden.de or to: TU Dresden, Chair of Imaging Techniques in Energy and Process Engineering, Prof. Dr
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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technical skills and gain knowledge in US health policy. The position is based at Stanford University. A PhD in economics, health policy, or a related field is preferred. Duties include: * Prioritize and
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completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or Medical Image Analysis) and possess sufficient specialist knowledge in medical imaging—particularly whole-body and abdominal MRI
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of Department: Human Physiology Rank: Assistant/Associate Professor Annual Basis: 9 Month Application Deadline November 21, 2025; position open until filled Required Application Materials Apply at https
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program and membership in MultiSport program. Support from the IBB Welcome Center with moving to a new place (https://welcome.ibb.edu.pl/ ). Delicious coffee and fruity Wednesdays. Selection process
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the lack of predictive process and material models. As a PhD candidate, you will work on the M2i-funded research project "Multiphysics Modelling of Tomographic Volumetric Additive Manufacturing Processes
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) techniques, especially to environmental data. Proficiency in remote sensing and geospatial data analysis. Expertise in computer vision and image analysis, particularly for drone or satellite imagery
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documented experience in computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT