Sobre este curso

Oxford University
  • Data de início

    2020 - 2021
  • Fees

    £0
  • Study mode

    Full-Time
  • Ucas Code

  • Campus

    Oxford University
  • Qualification

    Doctor of Philosophy
Sumário

O melhor curso na melhor universidade para você

The information provided on this page was correct at the time of publication (November 2019). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas The EPSRC Centre for Doctoral Training in Sustainable Approaches to Biomedical Science: Responsible and Reproducible Research (SABS: RÂ?) is an innovative open collaboration between the University of Oxford and 22 partner industrial organisations. SABS: RÂ? is predicated on the increasing reliance of biomedical research on computational approaches, and hence on well-engineered research software. The programme aims to train first-rate biomedical scientists equipped with the skills needed to transform their research through the creation of innovative, reusable computational tools and solutions for cutting-edge biomedical research problems. This four-year programme of research and training has strong industrial links, with each student having both academic and industrial supervision. The programme enables students from a range of quantitative scientific backgrounds to focus on biomedical research problems, including the design and testing of new chemical and biological entities, the modelling of biological and physiological systems, the robust analysis of large complex datasets and the development of novel computational methods for medical and biological imaging. This cross-disciplinary work introduces students to cutting-edge software engineering, machine learning, cheminformatics, computational simulation, bioinformatics, data mining, statistical analysis, physical and structural study of biomolecules, mathematical modelling, and medical and biological imaging. Underpinning the entire programme will be an appreciation of the vital importance of taking a responsible and reproducible approach to computational biomedical research. The CDT's industrial partners are currently AstraZeneca, BenevolentAI, the Cambridge Crystallographic Data Centre, Diamond Light Source, Elsevier, e-therapeutics, Exscientia, GE Healthcare, Hoffmann La Roche, Lhasa, LifeArc, Lurtis, MedImmune, Microsoft Research, Moffitt Cancer Center, Novo Nordisk, Oxford Drug Design (formerly InhibOx), Perspectum Diagnostics, SimOmics, UCB and Zegami. A major advantage of the programme is that you are not required to choose the substantive DPhil project until after the initial taught training phase, allowing a more informed choice of research project to be made. In addition to learning about biomedical science, the first six months of the course are devoted to acquiring advanced software development and theoretical and technical skills that form the backbone of interdisciplinary research in this area. This training draws from the engineering, mathematical, physical, chemical and biological sciences through a combination of intensive lecture courses, project work and hands-on software development. Each taught module lasts for either one, two or three weeks and is assessed using a method appropriate to the course: for example, open-source software development, presentations, group assignments or written work. This will be complemented with relevant research and communication skills training throughout the four years of the programme. A key element of the programme is the group-development of an open-source software solution to a current research problem put forward by our industrial collaborators. After completion of the taught training phase, you will undertake two exploratory research projects of thirteen weeks' duration each, similar in scope to a master's-level project, followed by the three-year DPhil project. You will be based within the research group of your principal supervisor for these, which may be in the University or with an industrial partner.

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