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of Biostatistics at Brown University is seeking a highly motivated individual for a postdoctoral research associate position interested in developing statistical methods for modeling medical imaging data
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pioneering method for obtaining the full conformational landscapes of biomolecular complexes at atomic scale from cryo electron microscopy (cryo-EM) images. It has been shown that MDSPACE analyzes
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: Project Scientist Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: https
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develops innovative strategies to improve both lateral and axial resolution, as well as to enable imaging of complex biological samples (e.g. organoids) deep inside tissues. This PhD project proposes a
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PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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equipment acquisitions and emerging imaging technologies; assisting in the preparation of funding requests for new or replacement instruments. Qualifications Required: PhD in a relevant field (e.g., molecular
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for studying the orientation of actin filaments (2-photon imaging) and collagen (SHG) in cells and tissues. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7249-HERRIG-028/Default.aspx
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Laboratoire INSERM UMR1311 Rouen Normandie Université | Rouen, Haute Normandie | France | 2 days ago
du financement) PHD title: Doctorat de Biologie PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/138557 Requirements Specific Requirements Requirements
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(toxicity evaluation, biodistribution, histology,…) as long as the image reconstruction. The PhD student will be trained for in vitro and in vivo work if necessary. Funding category: Contrat doctoral
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applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. General Requirements Candidates should have (i) a PhD degree in imaging science or related field or an equivalent