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-dimensional cytometry data. The successful candidate will play a key role in processing, analyzing, and modeling complex biomedical data - integrating spatial imaging, CyTOF, and clinical data - to enable
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on the mechanism(s) and function(s) of mitochondrial segregation in C. elegans using biochemical, molecular, genetic and imaging-based methods, with the goal of advancing our understanding of this process as
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assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In
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of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
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LevelPhD or equivalent Skills/Qualifications Holder of a PhD degree in physiology, biomedical sciences, bioengineering, imaging, or related field, you have a first research experience (research engineer
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contact Associate Professor Marte Giskeødegård, email: marte.giskeodegard@ntnu.no If you have any questions about the recruitment process, please contact PhD Coordinator/ HR Lara Bromann, email
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employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . About the position We are offering an exciting
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of advanced network functions in next-generation cellular architectures and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
hour Selection process Please submit your CV and your cover letter Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2025-09605 Work Location(s) Number of offers
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NTNU and the application process here. About the position The Department of Mechanical and Industrial Engineering has a vacancy for PhD Candidate in Antagonistic threats-aware Digital Twins in product