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Field
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, patch clamp recording, confocal microscopy, calcium imaging and other biochemical analysis (western blot, ELISA, etc.). Ability to work independently and collaboratively in a team environment Excellent
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more sensitive and faster cancer imaging. This PhD project will focus on surface functionalisation of metascintillators to optimise their scintillation performance, light yield, timing resolution, and
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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: Three Casual Research Assistant 2 positions are open at the Montreal Brain Imaging Centre of the Neurological Institute. The candidates will develop pipelines for classification of patients and healthy
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collaboration to combine their expertise. By integrating these complementary approaches, we aim to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad
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flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and mitigation system
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workflow for the imaging of Mg-LPSO alloys via X-ray nanotomography followed by higher resolution imaging of the identified regions of interest using transmission electron microscopy and atom probe
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informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
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laboratory and imaging facilities Access to a full range of equipment and laboratory facilities Inclusive and supportive lab culture with flexible working practices Applications welcome from candidates from
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PhD candidates and researchers who work on enabling technologies (e.g., AI-based information conversion technology such as automated image/audio description). You will investigate the needs and wishes