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We are pleased to announce a fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme! How does it work? Candidates will study
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each year) can be found here . HOW DO I APPLY? There is a 2-step application process as follows: Candidates must: 1. Apply for a “PhD in Computer Science” indicating a preference for one of the PhD
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Safe and Inclusive At NTU, we continue to build an inclusive culture that encourages, supports and celebrates the diverse voices and experiences of our students and colleagues. We welcome the unique contributions that you can bring and we encourage people from underrepresented communities and...
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Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code:8209F Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the programme of
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We seek a talented and passionate candidate to undertake PhD research in computer science, mathematics or statistics, and provide assistance to academic staff in a part-time Graduate Teaching
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pipelines already created by the team. Skills developed during this studentship will include embryology, computational biology, deep learning and high-throughput phenotyping. Eligibility Applicants should
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Overview This is an opportunity to conduct fully funded interdisciplinary research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex
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Reference numberSWEE0255 Entry requirements Applicants should have a first or second class UK honours degree or equivalent in a discipline related to agriculture, plant science, biology, or ecology. An MSc
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AI Centre for Doctoral Training in AI for Sustainability (SustAI). For more information about SustAI, please see: https://sustai.info/ You will join the School of Electronics and Computer Science
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of technology is, to some extent, reducing the carbon impact of otherwise high-impact sectors whilst simultaneously stimulating increased reliance on the energy-sapping processes of data rendering, server farms