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Field
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integration of 5G/6G Terrestrial/Non-Terrestrial and Wi-Fi, development of advanced algorithms and optimisation techniques to enhance the performance and efficiency of the integrated RAN, spectrum management
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Classification Title: AST PROF Classification Minimum Requirements Candidates for this rank shall hold the highest degree appropriate to their field. A candidate shall be expected to demonstrate
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postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research at the intersection of Geometry
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independent investigators) are available in the Das Laboratory Candidates from all areas of science and engineering with relevant experience are welcome to apply. Contact Prof. Das (mdas@uh.edu) for additional
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of
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pioneering research and innovation hub in AI—one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Usama Fayyad, the Institute for Experiential AI is built around the
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Position overview Position title: Dean of the School of Computing, Information and Data Sciences (Note: the successful candidate should hold an underlying prof-AY title) Salary range: $450k-$500k
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. The remaining time within your appointment you may be engaged to contribute to the general teaching, research and service tasks. Supervisors: Prof. Dr. Philippe De Smedt (Dept. of Environment, FBW), Prof. Dr. Ir
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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image processing, from theory and algorithms to applications throughout science and technology. We particularly welcome applications from candidates with expertise and research focus on machine learning