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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
translational statistics. Depending on their profile, the successful candidate will work on one of the following strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer
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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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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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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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: 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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/InstituteGrenoble Images Parole Signal AutomatiqueCountryFranceCityST MARTIN D HERES Contact City ST MARTIN D HERES Website http://www.gipsa-lab.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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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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, 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
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) and statistical genetics (GWAS, PRS, etc.) and related tools (e.g., PLINK). Experience with either 3D image processing (e.g., brain PET and MRI analysis) or statistical genomics (GWAS, PRS calculation
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. Your home base will be the Jakobi Lab (https://cryoem.tudelft.nl) at TU Delft | Kavli Institute of Nanoscience. We are a multidisciplinary, international and diverse team of scientists with backgrounds