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-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
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and dynamic models. Development of optimization algorithms for the unique operational characteristics of the onshore microgrids. Development energy management system including frontend and backend. Job
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Responsibilities: Conduct research on the design and analysis of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop algorithms and prototypes
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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Requirements: MSc (Research Associate) or PhD (Research Fellow) in Mathematics or Computer Science or closely related fields. Ability to design and implement advanced algorithms and data structures. Independent
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the research project • For those hired at senior levels, management responsibilities may be included Qualifications • Have a PhD degree in Electrical Engineering or equivalent from a recognized University
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15th August 2025 Languages English English Norsk Nynorsk English PhD Research Fellowship on Literature and Generative AI Apply for this job See advertisement UiB - Knowledge that shapes society
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PhD Research Fellowship on Literature and Generative AI Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with the world around us
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& optimization algorithms. Pilot demonstrations on partner radio telescope facilities such as APEX and the Sardinia Radio Telescope may be possible, depending on the interest of the PhD candidate and availability
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computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning models for prediction and recommendation Job