英国牛津大学2024年招聘博士后科学家（深度学习用于心血管成像）
牛津大学（University of Oxford），简称“牛津”（Oxford），位于英国牛津，是一所公立研究型大学，采用传统学院制。是罗素大学集团成员，被誉为“金三角名校”、“G5超级精英大学”，全球大学校长论坛成员。
牛津大学是英语世界中最古老的大学，也是世界上现存第二古老的高等教育机构。牛津大学的具体建校时间已不可考，但有档案明确记载的最早的授课时间为1096年，亨利二世在1167年禁止英国学生就读巴黎大学，因得到了英国王室的大力支持而快速发展。从1902年起，牛津大学还设立了面向全世界本科生的“罗德奖学金”。
Postdoctoral Deep Learning Scientist for Cardiovascular Imaging
University of Oxford
Postdoctoral Deep Learning Scientist for Cardiovascular Imaging
RDM Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, OX3 9DU
We are seeking a highly motivated Postdoctoral Researcher to join the Division of Cardiovascular Medicine in close interaction with the Big Data Institute, and work closely with an interdisciplinary team of machine learning scientists, MR scientists (Prof. SK Piechnik) and cardiologists (Prof. VM Ferreira). Recent deep learning breakthroughs have provided a new perspective to rethink contrast enhancement in medical imaging. You will develop novel generative AI to enhance CMR without intravenous contrast, to detect myocardial pathologies (especially diffuse fibrosis) beyond the current diagnostic capabilities of cardiovascular imaging.
Your responsibilities will include making a significant contribution to deep learning methodology for cardiovascular imaging, by developing novel deep learning algorithms, especially deep generative models, to unveil and assess pathological signals in CMR imaging. You will also develop and implement the latest deep learning models for CMR imaging and data analysis, using programming languages such as Python, TensorFlow, Keras and PyTorch.
You are required to hold or be close to complete a higher degree (DPhil/PhD) in a relevant area of research and have strong deep learning and machine learning programming skills. Experience in CMR image processing, good understanding of CMR scanning protocols would be desirable.
This is a full-time appointment on a fixed term contract for 3 years funded by BHF and you will be based at the University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Level 0, John Radcliffe Hospital, Oxford, OX3 9DU. You will also have access to computing resources, facilities and networking at the Oxford Big Data Institute.
Applications for this vacancy are to be made online; you will be required to upload a CV and supporting statement (up to 2 pages) which explains how you meet the selection criteria for the post.
Only applications received before 12.00 midday on 10th May 2024 can be considered. Interviews are scheduled take to place on 31st May 2024.
The University is an Equal Opportunity Employer
Contact Person : Harry Clarke Vacancy ID : 171827 Contact Phone : Closing Date & Time : 10-May-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : cvmpersonnel@cardiov.ox.ac.uk Salary (£) : £36,024 - £44,263 per annum
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