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https://www.univ-smb.fr Street Rue Marcoz, 27 Postal Code 73000 E-Mail recrutement-postdoctorant.rh@univ-smb.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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available1Company/InstituteUSMB / LISTICCountryFranceGeofield Contact City Chambéry Website https://www.univ-smb.fr Street Rue Marcoz, 27 Postal Code 73000 E-Mail Recrutement-Postdoctorant.Rh@univ-savoie.fr STATUS
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Robotique et de Microélectronique de Montpellier (LIRMM)CountryFranceGeofield Contact City Montpellier Website http://www.umontpellier.fr/ Street 163 rue Auguste Broussonnet Postal Code 34000 STATUS: EXPIRED
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) Number of offers available1Company/InstituteLJADCountryEuropeGeofield Contact City Nice Website https://univ-cotedazur.fr Street 28 av de valrose Postal Code 06100 STATUS: EXPIRED X (formerly Twitter
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), combining state-of-the-art in vivo approaches with quantitative data analysis. About the lab and environment The Rebola Lab (https://therebolalab.org ) studies how variability in synaptic function across
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methodology and instrumentation, as well as in the field of Biomedical Imaging applications. The laboratory has developed many interactions with research teams specialized in the fields of oncology, cardiology
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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at understanding the normal cellular trajectories of the brain, cutting-edge single-cell multi-omics approaches (sequencing and imaging based) to map cellular states and their transitions, pediatric neuro-oncology
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of colorectal cancer (CRC) using organoid models. The researcher will focus on integrating dynamic mutations, live multiplexed transcriptomic imaging, and proteomic imaging at the cellular level to predict