611 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD scholarships in United Kingdom
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facilities, and real-world datasets. The successful candidate will work under the supervision of Dr. Steph Flores (steph.flores@manchester.ac.uk ) and co-supervised with Dr. Carlos Avendaño (carlos.avendano
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programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Jelena
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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Department/School: Psychology and Clinical Language Sciences Supervisors: Dr Katie Barfoot, Dr Daniel Lamport, Dr Gemma Walton Project Overview: Are you interested in how diet influences mental
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importance to a binary assessment of effectiveness. As such, the aim of this PhD programme is to comprehensively evaluate football officiating decision support systems. Identify aspects of newly developed
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explore networks of key individuals involved in studying the effects of pollution and mitigating its impact on art museums and art objects. This project will be jointly supervised by Dr Nicholas Robbins
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supervision from an experienced team spanning Manchester Met and Chester Zoo. You will benefit from a skills training programme through our Doctoral College, and will be based in the Faculty of Science and
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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Primary supervisor - Dr Andrew Atkin Physical activity is often described as a ‘wonder drug’, capable of enhancing physical and mental health at all stages of life. The evidence behind this claim
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, this enables the development of more accurate computational models for various industrial processes. The experimental methods developed in this project will directly contribute to a better understanding of