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compared to numerical data (UU), and field measurements, obtained from Orsted. The goal of the team is to identify and model the entrainment processes which ‘replenish’ the kinetic energy deficits generated
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-on experience in analytical techniques (e.g., biochemical assays, advanced Imaging technologies, Immunological and toxicological assays) Experience with genetically encoded delivery vehicles Your Personal
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disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
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required for demonstrating operation at TRL 4. Perform experimental characterization of prototype performance, including measurements related to optical efficiency, structural stability, tracking accuracy
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; • Extensive knowledge of solar flare physics; • Extensive experience in the analysis of astronomical data (images and spectra) from X-ray and UV/EUV instruments; • Documented experience in designing Bragg
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living cells. The project will involve experimental work with biophysics techniques, such as microscope operation and sample-labeling strategies. Microscopy-based assays and image analysis will be
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for candidates who aim for an academic career. We will walk you through the process of transitioning from a postdoc to an independent researcher. Our postdocs have been successful in their career development
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terrain and vegetation structural modelling. Relevant knowledge and experience in development of automated processing methods and workflows for environmental and geospatial data is also essential. About
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, imaging, and 3D tissue model establishment will be essential to the role. Application Process If you would like to discuss this role, please contact Prof Eric O’Neill at eric.oneill@onccology.ox.ac.uk
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and