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contributor to society. The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general
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. robotics, computer science, electrical/electronic engineering, etc. • Extensive experience in robotic motion planning and control, especially in obstacle avoidance and contact-aware task execution with
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, or computational. The Experimental Petrology group at RSES is a world-leader in high pressure experimental petrology and the application of cutting-edge microanalysis to experimental products. Our strategic research
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. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (6 ) Life Health and Medical Sciences (11 ) Mathematics and Statistics (2 ) ORISE GO The ORISE GO mobile
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in Computer Science, Mathematics, or a related field. Strong publication record in leading cryptography and theoretical computer science conferences. Demonstrated ability to conduct independent
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@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic Qualifications A Ph.D. in Mathematics, Computer Science, or a related field, by the start of the appointment. Additional Qualifications
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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number of master’s students PhD Research Fellow in Mathematical Modelling of Surface Water Flow The Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway
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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only