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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The selected candidate will conduct research activities as part of
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available: https://www.fields.utoronto.ca/activities/26-27/quantum-algorithms-QADE . Successful applicants will be provided with funding to join the program in Ontario for 4-6 months. These Long Term Visitor
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Assistant Professor - Full-Time SCI-Computer Science - Pennsylvania-Pittsburgh - (25006623) Tenure-Stream Assistant Professor for Quantum Algorithms As the University of Pittsburgh’s newest school
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UnitedKingdomTime) Fellowship Description: Apply Fellowship Description Applications are invited for Fields Postdoctoral Fellowship positions with the Thematic Program on Quantum Algorithms for Differential Equations
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electroacoustic musical composition, generative algorithmic models and computational complexity” is designed to provide students with advanced and interdisciplinary training, integrating music theory, composition
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part of the diverse Caltech community. Job Summary This position involves research and evaluation of state-of-the-art algorithms for detecting and classifying safe landing zones using computer vision
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sciences, field of information science for the group of subjects related to data structures and algorithms at the Department of theoretical and applied foundations of information sciences Where to apply E
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims to develop new sensing algorithms integrated
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practical applications. Our researchers, academic visitors, and post-doctoral fellows pursue research on algorithms and the mathematical foundations of computing. Areas of particular interest include quantum
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills