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Field
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PET tracer, and their ongoing (pre)clinical translation, Groningen is taking the lead in imaging of Gram-positive infections. This PhD project will focus on expanding this initiative to the imaging
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intelligence is increasingly used in medical imaging, but the evidence required to demonstrate that these systems are safe and reliable is still evolving. Synthetic imaging data may help address limited access
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environmental conditions, and develop and validate computational decoders that recover environmental history from an image of the living organism. Based on the found capabilities, the candidate will also design
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preclinical research into neuroscience or the cardiovascular system; experience with MRI or other imaging techniques, which is an advantage; experience with preclinical research in neuroscience
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Candidate to join our research group and investigate the neural architecture underlying sensory processing in the zebrafish forebrain. This project will employ a powerful combination of cutting-edge imaging
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materials characterisation and modelling. Techniques may include thermogravimetric analysis, in situ X-ray diffraction, SEM, EBSD, image analysis, thermodynamic calculations and kinetic modelling. The aim is
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processing and phase transformation. The candidate will work with experimental datasets from techniques such as electron microscopy, EBSD, X-ray diffraction, X-ray imaging and in situ characterisation
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using optical tweezers and confocal fluorescence imaging, building on previous work (O’Brien et al., Nat Comm 2024). Together with our collaborators, you will produce materials for these experiments and
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Access to a well-equipped FabLab as well as project funding for prototype development Support for international networking, publications, and conference participation Professional development and training
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will design, execute, and analyze single-molecule experiments using optical tweezers and confocal fluorescence imaging, building on previous work (O’Brien et al., Nat Comm 2024). Together with our