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peer-reviewed publications. Ability to work independently while also contributing to a collaborative, interdisciplinary team. Equipment Used: computer 20 hours microscope 10 hours photosynthesis gas
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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experience in computational methods, which may include machine learning. This could involve medical image analyses and processing or biomarker quantification approaches. Experimental set up experience would be
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Your team SoftiMAX is a soft X-ray beamline focussed on spectro-microscopy and coherent imaging techniques, with 2 branch lines. The first branch delivers a nanoprobe beam for Scanning Transmission
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with a doctorate In-depth knowledge and experience in computer tomography and experimental imaging techniques, demonstrated by publications, scientific documentation, and active participation in
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-technical users. We are seeking an experienced computer graphics researcher/engineer who has knowledge of character animation and game/UX development. The ideal candidate would have some experience with
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of Research ExperienceNone Additional Information Eligibility criteria - Computer encoding - Excellent written and oral communication skills - Experience in manuscript writing is desirable - Ability to work in
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28 Oct 2025 Job Information Organisation/Company CNRS Department XLIM Research Field Engineering Physics Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer