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techniques such as mouse models, in vivo immune cell functional assays, flow cytometry, cell biology, metabolic assays, imaging and omics-techniques (next generation sequencing). Applicants should possess a
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., MBA in Healthcare Administration or similar certificate). Experience with multi-center global clinical trials, imaging data standards (DICOM/BIDS), and automated image processing pipelines. Familiarity
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to apply Website https://academicpositions.com/ad/university-of-basel/2025/phd-position-in-syste… Requirements Research FieldBiological sciencesYears of Research Experience1 - 4 Research FieldBiological
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SU-2-1 Futureproof energy and materials feedstock resilience for sustainable aviation fuels supply chain Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly
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clinical researchers. - Experience with multimodal imaging or integration with other imaging techniques. Application Process: Interested applicants should submit the following: - Cover letter outlining
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stimuli —enable whole-brain imaging of neuronal activity. This makes them an ideal model to study the neurons involved in these innate, evolutionarily conserved defensive behaviors. Your job As a PhD
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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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Wählby’s research group. Requirements You must have a PhD degree within digital image analysis/image processing or similar, or alternatively in bioinformatics/biomedicine/biology or similar. Documented
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European Organisation for Astronomical Research in the Southern Hemisphere | Garching an der Alz, Bayern | Germany | 20 days ago
implementation of a novel metrology system to enable microarcsecond astrometry. More details on the project are available here: https://exogravity.obspm.fr/planetes A PhD studentship in the framework
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offer a PhD student position at the Universitat de Barcelona (as part of the PhD Program in Mathematics and Computer Science) to develop new AI and federated learning algorithms for diagnostic imaging in