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Field
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Center for medical Image Analysis and Navigation (CIAN) group at the Department
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of Medicine of São José do Rio Preto (FAMERP) in São Paulo state (Brazil), offers one (01) post-doctoral position within the scope of the FAPESP Regular Research Grant (Process: 2025/20784-3). The project has
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technical and personal skills (e.g. supervision) through courses at the Academy and (inter)national conferences. Where to apply Website https://www.academictransfer.com/en/jobs/360505/postdoc-mesoscale
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the analysis of images collected within the project to validate the new tools, in collaboration with cryo-EM practitioners. Additionally, the postdoc will work on developing new tools for the analysis and
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and calcium imaging; (ii) experience in conducting experimental research in rodents, involving mouse behaviour, tissue extraction, MRI; (iii) Experience in stereotaxic surgery in adult mice; (iv
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 1 June 2026 (23:59 Danish time). Apply at: Postdoc in
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Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Salary Range: Base pay is commensurate with
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for a postdoc position in hybrid additive + subtractive manufacturing research with a focus on repair and remanufacturing of worn-out components particularly for high temperature turbine applications
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and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes