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foundation models, deep machine learning and computer vision. Topics of interest are test-time generalization, embodied grounding, data scarcity and uncertainly modeling. The research is embedded in the VIS
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, machine learning, signal processing) or an experimental background (software-defined radios, RF engineering), you build upon your strengths within the the 6thSense MSCA Doctoral School. Working across
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, machine learning, signal processing) or an experimental background (software-defined radios, RF engineering), you build upon your strengths within the the 6thSense MSCA Doctoral School. Working across
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, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not required Preference will be given to candidates with
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systems biology Background in AI (deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not
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imaging analytics of muscle asymmetry, fat infiltration, oedema and scaring. Use deep learning to deliver automatic injury detection methodologies to reduce false negative assessments. Explore
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Proficiency in both written and spoken German to create project reports and participate at project meetings In-depth knowledge of machine-learning based approaches in theory and practice Strong programming
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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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-Joyce ([email protected]) for more information. Learn More: The Leonardo Centre: www.sheffield.ac.uk/leonardocentre John Crane Ltd: https://www.johncrane.com/ More information About the Project
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Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field; a thorough understanding of both information retrieval and deep learning; solid programming skills