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algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and neuroscience. The candidate is
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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sensors have been operating together. A PhD Student on WPs 1 & 2 in the project will match these ITDs to maps of sea ice deformation and linear kinematic feature (LKF) evolution observed with SAR, to detect
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about the position, please contact Associate Professor Monika Abels: phone: +47 77645343 email: monika.abels@uit.no Qualifications Required qualifications: A Norwegian doctoral degree (PhD) in psychology
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the fellowship period. Qualifications Necessary qualifications Applicants must hold a PhD degree in psychology, neuroscience, medicine, or related field. Doctoral dissertation must be submitted for evaluation by
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equivalent to a Norwegian doctoral degree. If you’re at the final stages of your PhD, you may still apply if you have submitted your PhD thesis for doctoral degree evaluation within the application deadline
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also offers PhD programmes in linguistics, cultural/literary studies, art history, as well as media and documentation studies. The Center of Language, Brain & Learning (C-LaBL) The advertised position
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and diplomas for Bachelor's-, Master's- and PhD degrees. If you have not yet completed your PhD, you must provide confirmation on your estimated date for the doctoral dissertation, or confirmation