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Field
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of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will
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possible. The contract duration can be extended. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8214-VERSAR-036/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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unprecedented precision. - Procedures on rodents, such as: stereotactic brain surgery, cochlear injections, tissue sampling, tagging, etc. - Immunohistochemistry - Confocal imaging - Image analysis and 3D
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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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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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
hydrostatic assumption as a higher order approximation of 3D stochastic Navier-Stokes arXiv preprint arXiv:2602.04422 2 A Debussche, É Mémin, Antoine Moneyron, Stochastic interpretations of the oceanic
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Ionic CONductor) materials have a 3D structure allowing the fast diffusion of sodium during the electrochemical reaction of charge/ discharge as well as good structural and thermal stabilities
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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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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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%) postdoctoral scholarship holder in the field of redox flow batteries. More specifically, you will actively work within the frame of the European research project RECHARGE (https://elcat.be/erc-starting-grant