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Field
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, longitudinal patient and population registries and biobanks. Project description The development of artificial intelligence (AI) and computerised image processing in combination with advanced digital microscopy
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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biological approaches to the development of new imaging
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scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical
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range of downstream tasks. Candidates will be requested to develop novel methodologies within the artificial intelligence framework for effectively and efficiently process image time series for semantic
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 9 days ago
criteria Significant experience with confocal microscopy, and (plant) molecular biology. Selection process Please check out all the cool research projects in high resolution plant imaging of the nucleus and
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physiology, root biology or plant–environment interactions. • Experimental approaches to studying internal plant environments or spatially structured biological processes. • Imaging, sensor-based measurements
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processing and image representation Demonstratable experience in python for data handling and algorithm development Desirable : Knowledge and experience with imaging systems (X-ray CT, MRI or similar
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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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requires detailed imaging, beyond what is currently possible in humans in vivo. In this NWO-funded Vici project, we will leverage Ultra-High Field MRI (7T) with recent advances in MRI hardware, acquisition