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created in 2017 and it is situated at the Norwegian University of Science and Technology (NTNU) in Trondheim, and the University of Oslo. PoreLab is an interdisciplinary center with joint efforts in theory
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manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient reconfigurable
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interests that address but are not limited to interdisciplinary topics exemplified by Power Systems, Energy Storage, New Energy, Power Electronics, Statistical Learning Theory, Information Theory, Computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
and cosmology theory; and neutrino and nuclear astrophysics. UNC Chapel Hill has significant high-performance computing resources, including the 17,000-core Longleaf cluster optimized for I/O intensive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
; experimental astrophysics; computational astrophysics and gravity; high-energy and cosmology theory; and neutrino and nuclear astrophysics. UNC Chapel Hill has significant high-performance computing resources
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
and cosmology theory; and neutrino and nuclear astrophysics. UNC Chapel Hill has significant high-performance computing resources, including the 17,000-core Longleaf cluster optimized for I/O intensive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
; experimental astrophysics; computational astrophysics and gravity; high-energy and cosmology theory; and neutrino and nuclear astrophysics. UNC Chapel Hill has significant high-performance computing resources
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data
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of the tissue microstructure. In this position, you will work on developing advanced preclinical MRI techniques and you will employ them for 1) in-vivo mouse liver imaging, both for normal controls and in models
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of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and