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methodologies to gather data on the Viking legacy from across Europe and mapping the evolution of responses to the Viking past over time. The ideal candidate will either have a PhD in Old Norse Viking Studies and
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success of the project. Candidates for the postdoctoral position should have a PhD in molecular biology, genetics, microbiology or immunology, or related discipline, and should possess substantial and
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under the supervision of Dr Frances Judge and Dr. Jimmy Murphy in the School of Engineering and will be a member of the Offshore Renewable Energy Research Group in UCC. The ideal candidate will hold a PhD
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in the School of Engineering and will be a member of the Offshore Renewable Energy Research Group in UCC. The ideal candidate: The ideal candidate will hold a PhD in offshore renewable energy or a
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semimetals, magnetic monopole fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management
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MRIs (available in HIE cases) and radiomic features predictive of school-age MRI extracted. Machine learning algorithms of radiomic features predictive of future brain development will be developed
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fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management, development of custom
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strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one another, share ideas, and work collaboratively. UCC is
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of Pharmacy, UCC, led by the Professor of Pharmaceutics, Brendan Griffin is aiming to develop Artificial Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions
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environment where diversity is celebrated. As a university we strive to create a workplace that reflects the diversity of our student population where people from a wide variety of backgrounds learn from one