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for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D
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downstream signaling. These findings have shifted the paradigm on how biological specificity is achieved to generate unique responses downstream of PDGFR engagement. Available projects will utilize novel PDGFR
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to apply tensiomyography and ultrasound to evaluate skeletal muscle structure and function, able to analyze MRI images of skeletal muscles ○ Image analysis: quantify muscle architecture and fat fraction
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to apply tensiomyography and ultrasound to evaluate skeletal muscle structure and function, able to analyze MRI images of skeletal muscles ○ Image analysis: quantify muscle architecture and fat fraction
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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24 Jun 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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: Communication, teamwork and collaboration, commitment, proactivity, integrity, and critical/analytical thinking. High level of English. Advantageous: Experience in nanomedicine, active matter, biomaterials, or 3D
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23 Jun 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile Recognised Researcher (R2) Application Deadline
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About the Role The candidate will work on a project studying the development of novel immunotherapy treatment combinations for ovarian cancer. The work involves working on in-vitro 3D multicellular
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, or 3D cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork