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Fully Funded PhD Research Studentship A tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Inclusive Competition: Towards an improved
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Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
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have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a materials science subject. English language requirements: Applicants must meet the minimum English language requirements
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). The studentship is supported by both SIPR and the Abertay cyberQuarter within the Faculty of Design, Informatics and Business. In addition, the pan-University Graduate School offers an integrated training programme
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/ physics/ meteorology/ engineering/ biology. Experience in a computer programming language (e.g. Fortran, Python). A general understanding of the importance of the scientific method is essential. A previous
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interest in sustainability. Your academic background can be physical chemistry, materials engineering, chemical engineering, or physical sciences. All applicants must meet the minimum English language
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, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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heat transfer behaviour is known to depart from standard analytical correlations. Under the combined supervision of academics in mechanical engineering and computer science, you will consider the use
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on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form. Applications should include a Curriculum Vitae, contact information
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, and public engagement. The programme is designed to prepare graduates for careers in academia, industry, or clinical innovation. Key training features include enrolment in a leading UK doctoral