571 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Ulster-University" PhD positions in United Kingdom
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time. Big
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Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges
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This exciting opportunity is based within the Advanced Materials Research Group at Faculty of Engineering to conduct cutting edge research into upgrading novel biomass feedstocks with industrial
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innovation, participatory design, human factors, creative methods and policy advocacy, with opportunities to collaborate across environmental science, economics, and activism. Entry requirements: Applicants
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skills Be self-motivated, independent and team player Be genuine enthusiasm for the subject and technology Have the willing to publish research findings in international journals Funding Self-funded
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seeking a place on a research degree programme at Harper Adams University (MPhil or PhD). Applicants must have their own, their employer's or their Government's funding. A letter of "Confirmation of funding
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Funding for: UK Students, EU Students, International Students Funding amount: Full time Home fees and a standard tax-free stipend for three years equivalent to the UKRI National Minimum Doctoral
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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(School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling