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Field
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Applicants are invited to apply for two Post Doctoral Research Associate positions within the Department of Applied Mathematics and Theoretical Physics, under the instruction of Professor Raymond E
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learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD
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functional digital twin environment. Contribute to industrial validations, results presentations, and scientific publications. Candidate Profile PhD in Mining Engineering, Industrial Engineering, Applied
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instruction or plan/ deliver seminars relating to the research area. The successful candidate will have or be about to receive a PhD in mathematics, engineering or a closely related area, and have experience in
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(typically once a year). What we expect from you - requirements You have completed a PhD in mathematics with very good success (or will have completed the degree until the starting date of the position) You
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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postdoctoral researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see https://www.hw.ac.uk/uk/schools/mathematical-computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The laboratory of Dr. Terry Furey, PhD in the Department of Genetics seeks a post-doctoral
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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methodological development and applied work, with expected contributions to scientific publications and participation in collaborative meetings with the partner institutions. PhD in AI or statistics, machine