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foolzz新蟲 (初入文壇)
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倫敦瑪麗王后大學(xué) 醫(yī)學(xué)影像醫(yī)療機器人博士, 博士後及訪問學(xué)者生
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醫(yī)學(xué)影像,醫(yī)療機器人和醫(yī)療器械設(shè)計方向，有機械，電子，計算機背景的都可以試試。 方向非常好，注重科研理論性及實用性, 跟Imperial College London, Kings College London, Harvard, Johns Hopkins等校有合作關(guān)系。合適的申請人不用擔(dān)心deadline問題。https://www.mrlabuk.com/ https://www.sems.qmul.ac.uk/staff/z.tse 申請CSC訪問學(xué)者、聯(lián)合培養(yǎng)、公派留學(xué)人員請直接郵件聯(lián)系: z.tse@qmul.ac.uk 申請博士, 博士後, 請將個人簡歷以及一切你認為有益的申請材料（成績單，獎項，論文等）合成一個PDF發(fā)送給: z.tse@qmul.ac.uk 倫敦大學(xué)瑪麗王后學(xué)院是英國倫敦大學(xué)系統(tǒng)的下屬學(xué)院, 為羅素大學(xué)集團的成員之一。大學(xué)在英國Research Excellence Framework排名中, 工程研究成果報排名第2位及工程研究整體排名第7位，其在醫(yī)學(xué)工程、機器人、電腦方面表現(xiàn)特別突出。倫敦大學(xué)瑪麗王后學(xué)院的教職工中不乏英國皇家學(xué)會、英國科學(xué)院、英國皇家醫(yī)學(xué)科學(xué)院和皇家工程院院士。在倫敦大學(xué)瑪麗王后學(xué)院在校師生和過去的校友中，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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