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recruitment of personnel. We do … Where to apply Website https://www.academictransfer.com/en/jobs/357251/phd-position-computational-desi… Requirements Additional Information Website for additional job details
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and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field
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), Sorbonne-Université (FR), and McGill University (CA). What do you have to offer A PhD in neuroscience or similar Affinity with histological techniques A strong interest in image processing Strong written and
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are looking for a motivated PhD student to investigate brassinosteroid transport mechanisms by combining live-cell imaging, phosphoproteomics, and CRISPR-based screens. Profile Essential Master's degree in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
potentially lead to a PhD funded by the PEPR Maths-VivES. Missions: With the support of the supervisors Clément Cancès and Ludovic Métivier, the selected candidate will develop a 1D prototype code for the wave
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https://ppi.uib.cat/ Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications A PhD Degree in Engineering or Mathematics. Specific Requirements
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this position? Please contact Dr Jens Bunt. Jens will be happy to tell you more! Where to apply Website https://www.academictransfer.com/en/jobs/357450/phd-student-immune-landscape-an… Requirements
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BBSRC Yorkshire Bioscience DLA Programme: How does Keratin switching enable regenerative cell recruitment to sites of injury? School of Biosciences PhD Research Project Competition Funded Students
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deeper understanding of Antarctic terrestrial ecosystems and provide innovative tools for biodiversity monitoring in rapidly changing environments. Where to apply Website https://ibb.edu.pl/en/phd-studies
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the human brain across the lifespan. Ultimately, we wish to identify key processes necessary for building resilience to brain disease. We use a combination of approaches applied to large datasets, including