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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
. Candidates with expertise in related areas, such as lattice field theory algorithms, machine-learning methods for lattice field theory, hadron spectroscopy, or hadron-structure phenomenology, are encouraged
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UNIVERSITE DE BOURGOGNE (University of Burgundy) | Le Creusot, Bourgogne | France | about 8 hours ago
active sensor in the control loop of complex robotic systems. This team conducts research on robust control, state estimation by vision, visual servoing and machine learning applied to cyber-physical
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the economic
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of proteins (e.g. AlphaFold3, machine learning and docking tools) Experience in biocatalysis and protein chemistry (e.g. cultivation of microorganisms, protein expression, purification) and in the genetic
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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of 3D data / point clouds. Knowledge of libraries or tools such as PCL, Open3D, PDAL, and CloudCompare, as wellas machine learning/deep learning methods applied to 3D data, will be considered an asset
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, preferably in an independent project in an academic research laboratory setting. Background in statistics and machine learning. Technical Skills or Knowledge: Strong computer skills, including calendaring
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with