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of Biomedical Engineering is seeking an Assistant Research Engineer to lead computer vision and AI development for the VectorCam platform. VectorCam is an AI-enabled mobile imaging system designed to allow
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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21 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Recherche sur la Conservation Research Field Chemistry Chemistry » Computational chemistry Researcher Profile Recognised
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 1 day ago
to work independently in this area Experience with tissue processing, histological techniques, and microscopy Knowledge of image analysis tools (e.g., ImageJ, QuPath, or similar) is an advantage Structured
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as the day-to-day technical contact for the Flywheel imaging platform. Under the supervision of CIMBID leadership (Director of Research Informatics), the Staff Associate II supports secure imaging data
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/electronic engineering /mechanical engineering / computer science or related fields obtained in 2019 or later. 2. Experience in biophotonics imaging techniques. 3. Skills in image and signal
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operational leadership to support quality improvement initiatives, workforce development, technology planning, and the achievement of performance goals. The Manager works under the direction of senior imaging
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& pathology/surgery. Strong foundational background in statistics and probability. Computer and web systems literate. Compensation, Benefits and Position Details Pay Range Minimum: $80,244.00 annual Pay Range
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 4 days ago
Engineering, Computer Science, or Bioengineering. Knowledge of image processing and image analysis, preferably applied to medical imaging (e.g., segmentation, feature extraction, geometric reconstruction
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that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication