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Field
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group in Statistics and Data Science at the Department of Mathematics at University of Oslo, in close collaboration with the machine learning group at the Department of Informatics. About Integreat See
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for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms
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statistical methods, computational models and/ or machine learning algorithms to analyse environmental and infectious disease data; - Collaborate with multidisciplinary and international teams of researchers
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive
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Research Fellow (Software, AI & Autonomous Systems) Required Qualifications PhD in Robotics, Computer Science, Artificial Intelligence, Electrical, Computer Engineering, or related disciplines. Key
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surfaces. (iii) Optimize and enhance the computational algorithm by introducing a patterned spintronic THz emitter array to resolve the two-dimensional object image from the data set in real-time
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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experience in power electronics, switching strategies, and control algorithms • Strong knowledge of power electronics, drives, and control is highly preferred. • Experience with hardware testing and real
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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Department of Computing Senior Research Fellow / Research Fellow / Postdoctoral Fellow / Research Associate (Full-time/Part-time) / Research Assistant (Full-time/Part-time) (Ref. 260908017) (1