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higher education credits in the subjects of physics, computer science, mathematics, mathematical statistics, or related areas, of which at least 30 credits must be at the advanced (master's) level. Courses
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Computational Physics, the applicant must have completed at least 90 higher education credits in the subjects of physics, computer science, mathematics, mathematical statistics, or related areas, of which
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plants are significant sources of OMPs in the environment. Granular activated carbon (GAC) adsorption has emerged as a key removal process. In addition to adsorption, biodegradation by the biofilm
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applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
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, ecology, engineering, environmental science, information technology, mathematics, physics, or similar; or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in
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, physics, music and opera as well as the preparatory technical foundation year. MDU's research specialisation educational sciences and mathematics is part of the School. We collaborate with the surrounding
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fields: Robotics Computer Science Electrical and Computer Engineering Mechanical Engineering Applied Mathematics Applied Physics Statistics and Optimization A strong background in robotics, machine
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, physics, music and opera as well as the preparatory technical foundation year. MDU's research specialisation educational sciences and mathematics is part of the School. We collaborate with the surrounding
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engineering, physics and mathematics. You will need strong written and verbal communication skills in English. Some level of familiarity with computer programming is rquired. Additional Merrits (documents
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and development Generative AI models for sound, music, visuals, 3D graphics, or movement Projects related to Generative AI Background in mathematics and statistics of Deep Learning What you will do