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to process large (tens to thousands of TB) optical imaging datasets. • Develop, apply and deploy data handling pipelines designed to process multimodal imaging data with dozens of imaging channels
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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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Bachelor-/ Master Thesis: » Modelling of Heating Processes for Recyclable Monomaterial Sandwich Pane
Heating Technology« , we design and construct various prototype machines for laser-based and laser-assisted processes. Within the scope of your thesis, you will develop the hybrid heating processes
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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and metabolic changes occur in single quiescent cells over time, and how do they impact survival and regrowth? How do different quiescent phenotypes respond to antifungal treatments, and what
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endoscopy, this is the right research project for you. The PhD research project aims to explore and develop probes for ex-vivo and in-vivo applications for tissue imaging, classification and identification by
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transcript. Please be prepared to provide a copy should you be invited for an interview. EXPERIENCE: Two years cross sectional imaging and/or computer assisted imaging preferred with one year full time
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interacts with the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging
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like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy
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(QMUL). The researcher will be working under the supervision of Prof. Matteo Palma (QMUL): see http://research.sbcs.qmul.ac.uk/m.palma/. We have developed different nanohybrids platforms interfacing low