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Field
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: Roadmapping optical technology developments and the introduction of new capabilities for space missions, from low to high technology readiness levels; Introducing deep-space optical communication into space
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scientific programmers is supporting our deep learning research for large-scale experimentation. It's an exciting and supportive place to work, and we are proud to say we have a diverse team and an open
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The research project “ AMALTHEA:enAbling a Model driven deep understAnding of the roLe of gender Towards a Holistic solution against Extremism and radicalisation Activities” is funded by
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and planning status Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends Onboard Processing of Hyperspectral Imagery: Deep Learning
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physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated against experimental observations Bridging scales from pore-level
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risk of cardiovascular disease. Your main tasks and responsibilities are: developing deep learning-based model for detection and quantification of coronary calcifications in contrast-enhanced CT images
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developers and many more, that are focused on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore
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equipment readiness Contribute with new ideas, coordination and editing scientific proposals for new funding opportunities. The mission of the Department of Electrical Engineering is to acquire, share and
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-on exercises, labs, projects, and case studies in modern artificial intelligence (e.g., generative AI, deep learning), programming (primarily in Python), and the architecture and management of large-scale
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of the Swammerdam Institute for Life Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and