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potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea University) and Professor Jenni Quint (Imperial College, London) Aligned programme of study: PhD in Population
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organizing workshops, reports, position papers and detailed roadmaps to foster cross-agency engagement and outline utility-scale roadmaps for the QHPC initiative. Qualifications: PhD in Quantum Computing
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Northeastern departments including the global and PhD networks. In each of these areas, elements of designing and implementing program evaluation will be accomplished; obtaining and maintaining accreditation
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly founded by
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Description The Postdoctoral Research Associate is responsible for designing, conducting, and summarizing research projects associated with dairy cattle heat stress experiments and develop associated computer
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development of your personal strengths, e.g., through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via
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The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 4 hours ago
(https://hhs.uncg.edu/) at UNCG. Kinesiology faculty have a history of excellence in teaching, scholarship, and service, and the PhD program was highly ranked in the most recent (2019, 2023) National
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a particular topic mentioned above. Applicants should meet the following qualifi cations and possess relevant expertise: A PhD in Computer Science or a closely related field, with specialization in
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The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team