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algorithm. Basic principles of mathematical optimization. Fundamentals of machine learning and deep learning. It will be assessed: Have completed or are currently completing a degree in Data Science and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 14 hours ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep
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University of Oslo as a PhD Research Fellow in Deep Learning for geoscience imaging! PhD Research Fellow in Deep learning for subsurface imaging Apply for this job See advertisement About the position Position
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Apply now Job no:502129 Work type:Full time Location:Launceston Categories:Balanced Research/Teaching Coordinate, develop and teach high-quality coursework Effectively contribute to research
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Part-Time Lecturer for EE7207 Neural Networks and Deep Learning The School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore, invites qualified candidates
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learning systems, among others. Successful candidates will be responsible team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding
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Location Lexington, KY Grade Level 44 Salary Range $43,805-70,075/year Type of Position Staff Position Time Status Full-Time Required Education MA Click here for more information about equivalencies: https
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building a positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg
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algorithms and routines for image processing, image reconstruction and enhancement, deep learning model training and inference, explainability/visualization, and statistical analysis of AI performance. Conduct
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Experience in programming, expertise in software for handling big data, with a special emphasis on deep learning methods, and especially language models. 30% Complementary Training Having knowledge of software