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original research in asymptotic, algorithmic and/or probabilistic combinatorics, with particular focus on hypergraphs. Collaborate on research problems with the project team (Prof. Greenhill, Dr Isaev, A
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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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UKRI under Grant Reference EP/X026167/1. In this role, the successful candidate will collaborate with QSL’s team of researchers to design and implement variational quantum algorithms, resource estimation
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intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application. Appointments will be made on a two-year contract basis, in
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. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary: The Researcher-5 will lead the effort and collaborate with graduate students and Signals-and-Systems UMN-ECE
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University, Polytechnique Montreal, University of Calgary, UBC and The University of Victoria). There are 21 Canadian and international companies in the consortium. CANRIMT 3 is led by Prof. K. Erkorkmaz
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to test the current algorithm and inform development of future algorithm refinements aimed at supporting diabetic foot ulcer (DFU) prevention through identification of temperature differences of > 2.2°C
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1