Postdoctoral Research Associate in Deep Learning and Biomedical Image Analysis - JOBS.ac.kr(잡스)

{"job":{"jobId":2487460,"fk_accountId":null,"fk_organizationId":494,"fk_adminAccountId":null,"title":"Postdoctoral Research Associate in Deep Learning and Biomedical Image Analysis","description":"\n\nJob description\n\n\nWe are seeking a highly motivated and skilled Research Associate to join our team and contribute to cutting-edge research in computational pathology and biomedical image analysis. As a member of our team, you will be responsible for developing and implementing advanced deep learning techniques for classifying and segmenting multi-modal microscopy and spatial tissue image data. \n\n\nThe candidate should have strong background in deep learning and/or biomedical image analysis algorithm development and interest to employ such techniques to advanced applications in biology, drug development and precision medicine. The specific research project requires expertise in modern deep learning methods including graph neural networks, transformers, or recurrent neural networks. Experience in integration of disparate data types and data warehousing is desirable.  \n\n\nThis post may appeal to candidates with background in computer science or engineering interested in now developing skills and experience in biomedical research. Candidates with good experience in machine learning, bioinformatics, database management, and visualisation techniques will also be considered. The successful candidate will be joining a new group and thus this position provides an opportunity for the right candidate to be part of an exciting new venture. \n\n\nThis is a highly collaborative project with several institutions including Oxford University, Cambridge University, and UCL.  \n\n\nThis post will be offered on an a fixed-term contract for 2 years with the potential to be extended\n\n\nKey responsibilities\n\n\n<ul>\n<li>Manage own research and administrative activities </li>\n<li>Develop and apply deep learning algorithms for image analysis and classification of tissue data.</li>\n<li>Work with large-scale image data sets, including whole slide H&amp;E images, and multiplexed imaging data to extract meaningful features and insights.</li>\n<li>Collaborate with other team members to develop and optimize data pre-processing pipelines.</li>\n<li>Design and implement experiments to evaluate and validate the developed algorithms and trained deep learning models.</li>\n<li>Contribute to building and maintain data management systems and data lakes.</li>\n<li>Publish research findings in peer-reviewed scientific journals and present results at scientific meetings.</li>\n</ul>\n\n\nThe above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.  \n\n\nSkills, knowledge, and experience \n\n\nThe candidate should have a PhD degree in computational sciences, engineering, or bioinformatics. They should have good knowledge and experience in developing deep learning methods, and handling large-scale real world image data.  \n\n\nEssential criteria  \n\n\n1.      Have PhD in Machine Learning, Computer Vision, Biomedical Engineering, Computer Science, Bioinformatics, Computational Biology, or another related area.  \n\n\n2.      Excellent programming skills in Python.  \n\n\n3.      Excellent communication skills, both written and oral, including the ability to write for publication, present research proposals and results, and represent the research group at meetings \n\n\n4.      Good understanding of software testing  \n\n\n5.      Demonstrate a strong interest in interdisciplinary research. \n\n\n6.      Ability to manage own academic research and associated activities \n\n\n7.     Ability to contribute ideas for new research projects and research income generation \n\n\nDesirable criteria\n\n\n1.  Experience in dealing with large image data and cloud computing. \n\n\n2.  Strong interest in biomedical applications.  \n\n\n3.  Experience in large-scale image-based phenotyping in the wider sense. \n\n\n4.  Published research in a relevant field in high profile journals. \n\n\n5.  Experience of building modern database systems \n\n\n","pdfUrl1":null,"location":"London (Greater)","location1":"유럽","location2":null,"location3":null,"type":"2","applyUrl":"https://www.kcl.ac.uk/jobs/073585-postdoctoral-research-associate-in-deep-learning-and-biomedical-image-analysis","fileUrl1":null,"fileUrl2":null,"fileUrl3":null,"fileUrl4":null,"fileUrl5":null,"fileUrl6":null,"fileUrl7":null,"workingHour":"Full Time","contractType":"Fixed Term","salary":"Grade 6: £41,386- £48,414 per annum including","original_id":"UNI|349957","original_domain":"timeshighereducation.com","original_url":"https://www.timeshighereducation.com/unijobs/listing/349957","original_isPremium":null,"closeType":1,"closedAt":"2023-09-24T00:00:00.000Z","requireEducation":10,"managerTel":null,"managerFax":null,"managerEmail":null,"managerName":"KINGS COLLEGE LONDON","managerPhone":null,"managerAddress":"London (Greater)","log_hit":2,"log_like":0,"publishState":1,"organizationName":null,"organizationName_en":null,"organizationName_alt":null,"del_yn":"N","createdAt":"2023-08-24T10:11:09.000Z","updatedAt":"2023-08-24T10:11:09.000Z"},"organization":{"organizationId":494,"lv1Id":null,"lv2Id":null,"name":"King’s College London","name_en":"KINGS COLLEGE LONDON","name_alt":",King’s College London,KINGS COLLEGE LONDON,","introduction":"King’s is a leading university providing world-class teaching and cutting-edge research. We are ranked sixth in the UK for the quality and quantity of research activity (Research Excellence Framework 2014). King’s has played a major role in many of the advances that shape modern life, such as the discovery of the structure of DNA and research that led to the development of radio, television, mobile phones and radar. King’s continues to lead the way on research and pioneers new ideas to make the world a better place.&nbsp;King’s is London’s most central university, with five campuses linked through the heart of the capital, enabling us to build partnerships with key London institutions and form international conversations. We collaborate on research projects, share teaching resources and create internship opportunities to enhance our students’ experience. Current partners include the British Library, British Museum, National Gallery, Shakespeare’s Globe, Southbank Centre, Tate Modern, and more. Our central location and varied partnerships allow students to get connected in one of the world’s most dynamic cities.King’s is not only an enriching experience from an academic perspective – we have a diverse and active student community, with almost 30,000 students from some 150 countries worldwide.","logoImg":"","logoImgSquare":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/fdoip_897356079989.png","homepageUrl":"https://www.kcl.ac.uk/study","infoUrl":"https://www.timeshighereducation.com/world-university-rankings/kings-college-london","country":"GB","state":"London","location":"유럽","address":"Strand, London, WC2R 2LS, United Kingdom","phoneNumber":"+44 20 7836 5454","faxNumber":"","type":1,"univType1":"대학","univType2":"대학교","univType3":"","univType4":"본교","establishedAt":"1829-01-05T00:00:00.000Z","count_majors":null,"count_students":null,"meta_competitiveness":"","publishState":1,"updatedAt":"2021-03-23T10:36:30.000Z","createdAt":"2020-03-04T20:13:07.000Z","default_1_bannerImage":null,"default_1_bannerImageMobile":null,"default_2_bannerImage":null,"default_2_bannerImageMobile":null,"default_3_bannerImage":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/production/images/1720407274537/Mask group.png","default_3_bannerImageMobile":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/production/images/1720407278545/Mask group.png"}}