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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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modulation, radar/sonar signal processing, and machine and deep learning. WORK PERFORMING: Individual will perform research generally in the area of statistical signal and array processing. Topics of specific
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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30th April 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Mathematics focused on the application of geometry to machine learning Apply for this job See advertisement UiB
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly
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computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability to communicate scientific results clearly through
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approaches that combine deep learning with classical reasoning. Location Hybrid/Flexible Work Arrangement Additional Information This is a Part-Time Temporary position classified as Non-Exempt. The offered pay