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of Science & Engineering based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which
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remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
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, engineering, data science, and machine learning. For this position, knowledge of systems and networking is highly desirable. We highly value scientific curiosity and the desire to tackle hard, relevant problems
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reporting, accreditation reviews, and strategic planning initiatives. Recommend improvements and leverage technology to streamline development needs that emerge as the curriculum and student body evolve
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technology, education, communications, information technology, curriculum design or related field; three to five years experience in course design, curriculum design or e-learning, preferably in higher
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project), create a unique opportunity to apply machine learning and neural network methodologies, in conjunction with simplified ice sheet models, to advance understanding of ice sheet basal processes and
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knowledge and proven capacity of data analytics and machine learning. *Excellent programming in Python, R, SQL. Have experience with tools such as Google analytics, AWS, Looker, Tableau, or similar
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samples, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance
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to self-teach, strong self-motivation and task management skills, strong public speaking/communication skills, flexibility and adaptability, Experience with liberal arts research. Preferred Skills
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, electrical and computer engineering, data science, informatics, biomedical engineering, or a related field. Preferred: Demonstrated expertise in AI-driven drug discovery, machine and deep learning