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marine sciences, biological oceanography, ecology, or computer sciences. Strong analytical, numerical and practical skills are essential. Experience in coding or applying quantitative methods in a
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: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Civil Engineering (full time) as the programme of study You will then need to provide
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the Crick’s clinical PhD programme. About the Fellowships: This fully funded three-year PhD programme offers talented clinicians the opportunity to pursue biomedical discovery research in a world-class research
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controls (inhomogeneous materials/geometries). Validate on synthetic and real experiments; publish open benchmarks and papers. Why this is exciting Work at the frontier of AI for science (foundation models
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PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication
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experience to become a rounded scholar: £20,780 annual maintenance grant* Full coverage of PhD programme fees Higher Education (HE) teacher training and practice. This means that as well as pursuing your PhD
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combination of experimental work, rig development, and computational modelling, and will equip the student with a unique skill set highly relevant to both academic research and industrial careers such as
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Primary supervisor - Dr Myriam Charpentier Are you passionate about plant biology, endosymbiosis, system biology or bioengineering? Join a cutting-edge research project exploring how plants
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Applicants should have a first or upper second class honours degree in Earth, Environmental, Biological Science, Chemistry or a relevant Masters qualification. If your first language is not English, you will
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh