529 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Sheffield
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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co-culture system. Outcomes of this work will be benchmarked against the Carnegie Collection of Embryology (https://www.ehd.org/virtual-human-embryo) and the Boyd Collection (https
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Developing a clinical pathway to support nurse led whole genome sequencing for neurological diseases
: Candidates must have a first or upper second class honours degree or significant research experience. How to apply: Please complete a University Postgraduate Research Application form available here: https
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Canada. Please also see our website for more information about our lab: http://www.claudiavonbastian.com Funding Notes Self funded or externally sponsored students only. Intakes are usually October and
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project will involve data analysis, advanced statistical methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally
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University to break the Guinness World Record for the highest-resolution microscope ever created. You can read about it in Scientific American: https://www.scientificamerican.com/article/see-the-highest
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Self funded or externally sponsored students only. Intakes are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https
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. The research will integrate advanced full-field imaging techniques, including X-ray computed tomography, neutron tomography, and related methods, with modern machine-learning approaches such as sparse regression
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. How to apply: Please complete a University Postgraduate Research Application form available here: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying. Please clearly state the prospective main
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)