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. The project aspires to elucidate the physics governing droplet impact and wetting on fibrous networks in order to enhance fog net technology. The planned work is experimental and will be conducted in
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for admittance to the Faculty of Social Sciences’ PhD programme within relevant disciplines in the social sciences or the humanities. The master’s degree must be of high quality (grade A or B) and within a
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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program
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to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in natural sciences (geoscience, physics, chemistry, mathematics, biology or related
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will include an interview. Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences’ PhD program
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at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the Departments of Physics and Technology, Mathematics and Statistics, and Computer Science. via Unsplash Project
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researchers with backgrounds in Astrophysics, Biosciences, Chemistry, Geosciences, Informatics, Mathematics, Pharmacy, Physics, and Technology systems, who through the development of their individual-driven
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of Physics and Technology, Mathematics and Statistics, and Computer Science. More about the position We welcome applicants with a strong background in machine learning, causal inference, and statistics, who
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represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology
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highly interdisciplinary environment that combines approaches from computational physics, machine learning, neuroscience, and gene technology. The postdoc is expected to contribute to develop machine