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Field
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research associate position in AI for science. The Learning Systems Group seeks a postdoctoral researcher specializing in federated learning and privacy-preservation algorithms. The successful candidate will
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-weather perception for which Radar sensing/imaging is essential. This project focuses on developing algorithms, using signal processing/machine learning techniques, to realise all-weather perception in
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patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning
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creation of processes and algorithms to transform traditional GEOINT and open-source data into spatiotemporal information describing places, events, and activities Combine full spectrum source data with
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to this exciting endeavour. You will work on LCA and waste heat optimisation problems in European and national projects, being responsible for the LCA calculations and optimisation methods & algorithm. You will
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environmental sensing. The incumbent will contribute to the development and deployment of real-time correction algorithms and hardware systems, leveraging GLAO technologies in collaboration with ULTIMATE-Subaru
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education and has grown to encompass a network of specialty clinics, multiple research and clinical trials, an infectious diseases/HIV education program, an international research program in East Africa and a
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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across disciplines. The candidate will be attached to both FORM (hosted by the Department of Mathematics and Computer Science) and DIAS and should be prepared to engage in multiple and diverse research
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research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent Surfaces, including both joint baseband processing and synchronization across