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aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize
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excellence in data engineering and the ability to communicate clearly and proactively with collaborators who contribute multimodal microscopy data to the project. Your work will directly support computational
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digital innovation. Minimum Qualifications: Education and Experience: Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field; Master’s degree strongly preferred. 12
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, Temporary, Part Time, Faculty - Engineering College: Engineering, Computer Science, and Technology (ECST) Position Title: 2026-27 AY lecturer Pool - Technology Department of Technology Instructional Faculty
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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26 Jan 2026 Job Information Organisation/Company CNRS Department NAnomédecine, Biologie extracellulaire, Intégratome et Innovations Research Field Pharmacological sciences Engineering Technology
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PERLE Project, carried out by CNRS, aims to construct a high-power
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
competency checklist Preferred Qualifications Advanced training in computer-based image management systems Familiarity with advanced echocardiographic imaging and intracardiac procedures performed in
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-bacterial electron transfer in these systems. By combining cultivation-based microbiology with electrochemical approaches and high-resolution imaging, the work will directly probe how energy metabolism is
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research