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and Technology, FCT, I.P., under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering (Medical Informatics), or related areas. Recipient category: Bachelors, enrolled
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, FCT, I.P., under the following conditions: Scientific Area: Computer Engineering, Biomedical Engineering (Medical Informatics), or related areas. Recipient category: Masters, enrolled in the course
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deliverables Required selection criteria completed doctoral degree in psychology, developmental science or cognitive science or similar domain training and experience with at least one technical research method
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An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . The positions aim is to
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who shares our values and who will support the mission of the university through their work. Qualifications: Ph.D. in a relevant field such as Learning Sciences, Human-Computer Interaction, Education
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studying RNA biology in human neurological disorders. Particularly, an interest in studying G-quadruplex biology from both biological and therapeutic aspects is desired. Applied methods range from the use
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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), one method of SCI, poses on the Earth system. Specifically, the postdoctoral scholar will analyze climate model simulations to quantify the impacts and risks of SAI on climate extremes such as droughts
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt