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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare remains under-researched, particularly in areas like rare diseases, neonatal care, and chronic...
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within The School of Medicine and Biosciences. For further details and to see our team, please visit: https://www.uwl.ac.uk/research/research-centres-and-groups/geller-institute-ageing-and-memory The Role
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BBSRC Yorkshire Bioscience DLA Programme: Neuronal compensation for natural circuit perturbations School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Andrew Lin
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to lead its flagship executive education programme, Global Challenges in Transport, while maintaining an active and impactful research profile. This distinctive 70/30 role combines programme leadership with
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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challenge for health and care services. You will work with, and under the direction of, the Collaborations Programme Manager to support the effective delivery of MLTC CNC programme activity and the activity
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Magnetic Nanodevices for Energy-Efficient Neuromorphic Computing (S3.5-CMB-Hayward) School of Chemical, Materials and Biological Engineering PhD Research Project Competition Funded Students
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Chair Prof./Prof./Associate Prof./Assistant Prof./RAP in Faculty of Computer & Mathematical Sciences
year, PolyU will be recruiting for positions at various levels in all academic units as listed below. Please visit our website at https://www.polyu.edu.hk/hro/job/en/globalsearch.html for the details
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About the role: This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure