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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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ExperienceNone Additional Information Eligibility criteria - PhD in theoretical chemistry or theoretical physics, with experience in methodological developments is a plus. - Solid knowledge in electronic structure
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-EHESS, located in Paris in the 6th arrondissement. CAMS is a multidisciplinary research unit bringing together mathematicians, physicists, computer scientists and researchers in cognitive and social
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/simulation programming - characterisation of various samples - supervising student (intership, PhD candidate) - writing articles - taking part in conferences This work will take place at ISMO within
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specialized training and mentoring and will be integrated into the project network. A personal computer will be made available to the researcher Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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cells) - Synchrotron measurements (e.g., diffraction, tomography, inelastic x-ray scattering, and/or absorption spectroscopy) - Measurements at X-ray Free Electron Laser (XFEL) facilities - Pulse-echo
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Institute of Electronics and
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versatile structures with numerous applications in microelectronics, MEMS (Microelectromechanical Systems), and nanotechnology. These membranes are produced by selectively etching the top silicon layer of SOI
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, immunofluorescence, biochemical, and molecular approaches (qPCR, Western blot, ELISA, optical and electron microscopy). Collaborate with project partners to evaluate the mechanical and structural properties