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pioneering method for obtaining the full conformational landscapes of biomolecular complexes at atomic scale from cryo electron microscopy (cryo-EM) images. It has been shown that MDSPACE analyzes
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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-based genetic perturbations. Conduct phenotypic characterization using advanced live-imaging and quantitative image analysis. Generate and integrate molecular and metabolic datasets, including
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Qualifications PhD in Neuroscience or other related field Experience in in vivo dosing (IV,IP, SC), mouse brain stereotactic surgery, in vivo two photon imaging, image analysis Qualified applicants must be
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responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed
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underlying disease progression – and to translate these insights into therapeutic strategies. Our lab combines cutting-edge in vivo imaging, electrophysiology in mouse models and computational modeling with
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assays) and high-resolution imaging approaches and quantifications from both mouse and human brains; mouse brain regional dissections; western blotting; and experiments in various in vitro culture systems
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dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning. Major
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the mechanosensitive processes and the mechanical properties of tissues that drive tumor malignancy and anti‑tumoral immune responses. This multidisciplinary project will combine: Biophysical techniques and image
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cellular biology approaches. - Analyse tumour samples from pre-clinical models and patient cohorts using high-dimensional platforms, including multiplex imaging, flow and mass cytometry