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伦敦玛丽王后大学 医学影像医疗机器人博士, 博士後及访问学者生
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伦敦玛丽王后大学 医学影像医疗机器人博士, 博士後及访问学者生 医学影像,医疗机器人和医疗器械设计方向，有机械，电子，计算机背景的都可以试试。 方向非常好，注重科研理论性及实用性, 跟Imperial College London, Kings College London, Harvard, Johns Hopkins等校有合作关系。合适的申请人不用担心deadline问题。https://www.mrlabuk.com/ https://www.sems.qmul.ac.uk/staff/z.tse 申请CSC访问学者、联合培养、公派留学人员请直接邮件联系: z.tse@qmul.ac.uk 申请博士, 博士後, 请将个人简历以及一切你认为有益的申请材料（成绩单，奖项，论文等）合成一个PDF发送给: z.tse@qmul.ac.uk 倫敦大學瑪麗王后學院是英國伦敦大学系統的下属学院, 為罗素大学集团的成員之一。大學在英國Research Excellence Framework排名中, 工程研究成果報排名第2位及工程研究整体排名第7位，其在医学工程、机器人、電腦方面表現特別突出。倫敦大學瑪麗王后學院的教职工中不乏英國皇家學會、英國科學院、英國皇家醫學科學院和皇家工程院院士。在倫敦大學瑪麗王后學院在校师生和過去的校友中，有9位諾貝爾獎得主 Recruitments of PhDs, Postdocs, Visiting Professors, Lecturers, Scholars in Medical Robotics, Queen Mary University of London, UK. According to the UK Research Excellence Framework, Engineering in Queen Mary University of London is ranked as 2nd for the research outputs and placed 7th overall for engineering in the UK The Digital Health & Robotics Lab at Queen Mary University of London has career opportunities in the area of Medical Imaging and Robotics. Applications are invited for Postdocs, PhD students, Visiting Professors/Lecturers/Scholars in surgical robotics and related basic science. https://www.mrlabuk.com/ https://www.sems.qmul.ac.uk/staff/z.tse We are seeking exceptional, self-motivated individuals to work with an interdisciplinary team to construct and test a novel minimally-invasive device to reach far inside the human body. The research will include mechanical and electronic circuit designs, prototyping and pre-clinical testing of diagnostic and therapeutic devices to address clinical problems. A thorough understanding and hands-on experience of user-centred designs, electronic circuitry, programming and system control in medical applications are highly appreciated. Publication of results is also an integral part of the positions. Key areas of research include: • Design, development and experimental validation of mechanical and electronic systems for robot-assisted surgery • Integration of novel and established tools for controlling and validating the accurate placement of diagnostic and treatment devices • Investigation of clinical workflows and validation of developed robotic systems in collaboration with clinical partners We are interested in candidates with a strong background in one or more of the following areas: • Degree in Mechanical, Electronic, Electrical, Biomedical Engineering, Physics, Computer Science or related fields • Hands-on experience of engineering designs, circuitry, system control and integration, particularly in mechatronic systems • Demonstrated capability in designs, fabrications, and testing of novel devices • Proficiency in LabView, Matlab and SolidWorks • Hands-on experience of 3D printing, laser cutting, 3D scanning and rapid prototyping • Demonstrated capability in smartphone programming, internet of things (IoT) and RFID applications In addition, the following skills and experience would be a plus: • Knowledge in digital imaging, medical imaging (MRI, CT, Ultrasound, X-ray), and tracking (optical and electromagnetic tracking) and image-guided therapy • Programming experience in Android Studio, Xcode, App Inventor, C, C++, Python • Previous experience in medical device prototyping Candidates will conduct research in the area of minimally invasive interventions in close collaboration with clinical partners. Entry requirements: Applicants for the PhD position will be preferred with undergraduate and/or master degrees in Mechanical, Electronic, Electrical, Biomedical Engineering, Physics, Computer Science or related fields. Applicants for the post-doctoral position must hold PhD degrees in the related fields by the time the positions start. The selection and interview process starts on a rolling basis. Please send all inquiries and application materials to z.tse@qmul.ac.uk |
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