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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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, geophysicists, computational scientists, and engineers in support of the project. Specific responsibilities include: Develop deep learning algorithms for seismic data processing, interpretation, and inversion
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the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna. The research group of Prof. João Alves (www.joaoalves.org) is looking for a highly motivated and talented postdoctoral
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administered by the College of Natural Science and the College of Engineering, is one of the newest units at MSU. Founded in 2015, CMSE recognizes computation as the “triple junction” of algorithm development
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promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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Reconfigurable metamaterials for mmwave applications School of Electrical and Electronic Engineering PhD Research Project Directly Funded Students Worldwide Prof Lee Ford, Dr Stephen Henthorn
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robust brain-inspired, autonomous, and cognitive systems through cross-layer analysis and design methods, engaging hardware, software, and system level techniques synergistically. Prof. Shafique’s lab has
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We offer an attractive position for a full stack software engineer to work in close cooperation with our research teams, particularly within the Computer Vision, Machine Intelligence and Imaging