7 parallel-computing-numerical-methods Fellowship positions at University of Agder in Norway
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), machine learning algorithms, and perception methods can improve the autonomy, robustness, and precision of robotic manipulation in challenging environments. The project lies at the intersection of control
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aerodynamic) and structural integrity analysis, primarily using numerical methods and surrogate models. The candidate is expected to work collaboratively in an international research environment. The research
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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. Required qualifications master’s degree of 120 ECTS credits in Information Systems or another closely related areas, with an average grade of B or higher qualify for admission to the PhD Program in Social
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supervision and day-to-day research activities. Criteria for positions as PhD Research Fellow (in Norwegian). A prerequisite for employment is that the candidate is admitted to UiA’s PhD programme in
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perspectives, material, a progress plan, and methods within the given framework Any other relevant documentation The applicant is fully responsible for submitting complete digital documentation before
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employment is that the candidate is to be admitted to UiA’s PhD programme at the Faculty of Engineering and Science, Specialisation in Engineering Sciences, Scientific Field Renewable Energy Criteria