X-Net: A UK-wide Cross-Disciplinary Training Network

X-Net：英国范围内的跨学科培训网络

• 批准号: MC_PC_21016
• 负责人: Wendy Bickmore
• 金额: $ 25.46万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_21016
• 关键词: Net; UK; wide; Cross; Disciplinary

The X-Net training network targets the interface between computational and mathematical sciences and biomedical research, forging links between disparate research communities. It will enhance the potential, quality and impact of cross-disciplinary investigators across the MRC Unit portfolio and beyond. X-net will connect cross-disciplinary researchers at different career stages and reveal career opportunities to STEM researchers who are motivated to address the most important biomedical questions of our era. One important focus will be on the key areas of big data and machine learning, identifying invdividuals from STEM backgrounds who can bring AI and statistical expertise into biomedical science.

X-Net培训网络的目标是计算和数学科学与生物医学研究之间的接口，在不同的研究社区之间建立联系。这将提高跨学科调查员在管理资源中心股内外的潜力、质量和影响。X-net将连接不同职业阶段的跨学科研究人员，并为那些有动力解决我们这个时代最重要的生物医学问题的STEM研究人员提供职业机会。一个重要的重点将是大数据和机器学习的关键领域，确定来自STEM背景的投资者，他们可以将人工智能和统计专业知识带入生物医学科学。