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preconditioners for Newton methods. Concrete model problems and numerical examples will be used to guide and prototype the development. About the Department of Mathematics at UiB The prospective PhD candidate will
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learning in the Visual Intelligence Graduate School . You are keen on contributing to new advances in deep learning methodology for earth observation. You will work on deep learning methods for detection
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include relevant education in research methods. Other qualifications English language skills (written and oral) Language skills in other widely spoken languages, such as Arabic, French, German, Hindi
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the post-doctoral project. We welcome applicants to submit a short project proposal, which reflects their area of interest. The successful applicant will be required to apply quantitative methods and work
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component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training. Qualifications and personal qualities: The applicant must hold a
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include an educational component. This is the right position if you are highly motivated about fundamental science and excited about questions related to fluid flows, droplets, wetting phenomena and
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and numerical methods for analyzing stochastic transport equations, which are critical for understanding how random fluctuations affect dynamic systems such as turbulence, water waves, and compressible
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comprises a training component corresponding to 30 ECTS, which correspondsto one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign
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will be allocated to formal training. As a PhD candidate, you must participate in the Faculty of Humanities’ educational programme . The PhD programme comprises a training component corresponding to 30
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Municipality, and the Norwegian Mapping Authority (Kartverket). Research topics The candidate will investigate and develop state‑of‑the‑art methods for benchmarking and evaluating language models in highly