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Center to acquire, store, report, and distribute imaging studies. The incumbent must have expert-level imaging informatics, leadership, and communication skills. The final salary and offer components
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 12 hours 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 | about 12 hours 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 | 3 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