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to the decoherence and volatility. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics
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of these labs and brings together researchers from the Department of Health Science and Technology (Faculty of Medicine) and the Department of Mathematical Sciences (Faculty of Engineering and Science). The
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in-situ monitoring data, ex-situ characterization data and failure data from aggressive loading of AM samples. The activities will span across exploratory data analysis, mathematical model building
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., headsets, earbuds, telepresence solutions, etc. Your competencies Prospective applicants to this PhD proposal should have the following qualifications: M.Sc. degree in electrical engineering, mathematical
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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for candidates with strong analytical skills, curiosity, and enthusiasm for cryptographic research. A solid background in theoretical computer science, mathematics, or a related field will be considered an asset
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Credentials. The position will start on 1 August 2026 or later. You should hold a master’s degree in Computer Science or a related field and have a strong background in cryptography or mathematics as
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Time Series Analysis Graphical models Computational statistics We welcome applications from candidates with an educational background in fields such as: Mathematical Statistics Machine Learning
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella
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that combine principled mathematical modelling with learning-based refinement. The aim is to enable robust 3D reconstruction and tracking of skeletal structures such as the femur and pelvis. The research will