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Research Scientist
3 months ago
Organisation/Company KHALIFA UNIVERSITY Research Field Computer science Engineering Sociology Ethics in health sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Arab Emirates Application Deadline 31 Dec :00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionDESCRIPTION
Khalifa University is ranked 181stin the QS World University Rankings 2023, and the top University in the UAE, with a range of research and academic programs designed to address the entire range of strategic, scientific and industrial challenges facing our rapidly evolving world.
Its world-class faculty and state-of-the-art research facilities provide an unparalleled learning experience to students from the UAE and around the world. Our research and academic activities cover a broad range of disciplines in engineering, science and medicine through our three colleges.
Khalifa University's research relates to key focus sectors of relevance to the UAE's strategic economic growth and the technology platforms that serve as foundations for these sectors. The University's research priorities are addressed in two categories — "verticals" and "horizontals" — which jointly cover specific industry and sector needs, technical platforms and expertise.
KU's focus sectors are Clean and Renewable Energy, Hydrocarbon Exploration and Production, Water and Environment, Healthcare, Aerospace, and Supply Chain and Logistics. Research in these sectors is enhanced by our research platforms of Robotics, AI and Data Science, Information and Communication Technologies, and Advanced Materials and Manufacturing as well as Fundamental Sciences.
Position Overview
KU is seeking an experienced & highly motivated Research Scientist to work on a funded project to capture and analyze the features in medical data and images based on machine learning and fractal theory, to develop advanced analysis algorithms for medical data and images, which provide new perspectives and methods in bioinformatics, help doctors understand more comprehensively medical data and images, improve diagnostic accuracy and disease prediction, and support personalized healthcare.
As part of the project, the research scientist will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.
Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ).
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