Life Sciences Interface Doctoral Training Centre

生命科学接口博士培养中心

• 批准号: EP/F500394/1
• 负责人: David Gavaghan
• 金额: $ 697万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Training Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF500394%2F1
• 关键词: Life; Sciences; Interface; Doctoral; Training

The LSI DTC provides a comprehensive training programme, and facilitates leading-edge research, in the mathematical, physical, and engineering science techniques that underpin four interlinked application areas at the Life Sciences Interface within the University: biological physics arising from the joint EPSRC/BBSRC IRC in Bionanotechnology based primarily in the Physics Department; medical imaging and signals arising from the joint EPSRC/MRC IRC: From Medical Images and Signals to Useful Clinical Information based primarily in the Engineering Science Department; mathematical genetics and bioinformatics linked to the Oxford Centre for Gene Function and based in the Statistics Department; and Computational Biology arising from the Integrative Biology e-Science Pilot Project and based in the Computing Laboratory. Each of these application areas and associated groups are involved in extensive interdisciplinary collaborations with life sciences and clinical colleagues across the University, and more widely, and each represents a key strategic research direction for both the host depaitinents and the University. Demand for trained researchers in both industry and academia is very strong in all four research areas, and the DTC has very strong industrial input into the programme, including a pilot industry-based D. Phil programme.

LSI DTC 提供全面的培训计划，并促进数学、物理和工程科学技术方面的前沿研究，这些技术支撑着大学内生命科学接口的四个相互关联的应用领域：生物物理学，由主要基于物理系的生物纳米技术 EPSRC/BBSRC IRC 联合产生； EPSRC/MRC IRC 联合产生的医学成像和信号：从医学图像和信号到主要基于工程科学系的有用临床信息；数学遗传学和生物信息学与牛津基因功能中心相关，并设在统计系；计算生物学源于综合生物学电子科学试点项目，以计算实验室为基础。每个应用领域和相关团体都与大学乃至更广泛的生命科学和临床同事进行广泛的跨学科合作，并且每个领域都代表了所在医院和大学的关键战略研究方向。所有四个研究领域对工业界和学术界训练有素的研究人员的需求都非常强劲，并且 DTC 对该计划有非常强大的工业投入，包括基于工业的试点博士学位计划。