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activity patterns being associated with movements and others not. By using our novel techniques, that can drive precise patterns of activity distributed across many neurons, we can test different theories
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foundations of deep learning, functional analysis and measure theory. You can find more information about our research area and our team on the website: http://www.olgamula.com. As a team, we understand the
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of the planning and implementation processes with emerging energy technologies. You will develop and execute trainings and workshops for practitioners based on theories in Environmental psychology and empirical
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to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include
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trajectories and enhance interaction safety and robustness. Learning for Human-Robot Interaction: Integrate machine learning techniques, such as reinforcement learning and generative models, with control theory
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theory and practice; research experiences in living labs will be an advantage Knowledge of systemic agroecology and agroecological transformation processes Experience in qualitative research methods
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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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the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and
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) to enable ultra-massive/holographic MIMO communication systems, and as reconfigurable intelligent surfaces (RISs) to enable controlled reflections of electromagnetic waves in the propagation environment
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 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