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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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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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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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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
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field. The MA thesis must be equivalent to at least half a year’s workload, i.e. 30 ECTS. The Master’s degree must include relevant education in research methods. Other qualifications English language