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of any university. Candidates will usually have completed their PhD or equivalent qualification but must not have undertaken more than 2 years postdoctoral work or work outside of academia by 1 October
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Social and Historical Sciences. For more information, please visit http://www.ucl.ac.uk/about UCL Mechanical Engineering has been pioneering the development of engineering education, having taught the core
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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multi-omics data integration (e.g.: ATACseq, RNAseq, single cell RNAseq and spatial-omics platforms like CODEX/mIF or 10x Visium). The fellow will work with several research collaborators in the EECS
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for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in
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to support all phases of the project including study design, data collection, data analysis, community engagement, dissemination, and manuscript preparation. The ideal candidate will have a strong background
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months after taking up the position. For more information see: http://www.uio.no/english/research/phd/ Personal skills Self-driven and highly motivated about fundamental science. Very good communication
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environment. Develop robot localization approach leveraging data from multiple sensors including but not limited to camera and lidars. Develop efficient approach for multi-robot trajectory planning and tracking
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. Additional information The Academic Appointments Board for PhD Research Fellowships is responsible for the appointment. An expert assessment of applicants will be carried out. The candidates deemed best