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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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of Earth surface processes, using optical, radar or lidar methods. Good knowledge about cryospheric and mountain processes. Previous experience with data assimilation and numerical modeling will be regarded
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(5 points). Knowledge and additional and specific experience to be assessed (30 points, all contributions must be documented). Accredited training in modelling, numerical simulation, numerical methods
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information science, broadly construed, particularly those employing methods from analysis, probability, optimization, numerical mathematics, control, or information theory. Areas of interest include, but are not
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Aid and Scholarships Office under the Program Center Enrollment Management in the Division of the President. For more information, please visit: https://www.csus.edu/apply/enrollment-management/ Minimum
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proposal, or academic policy development processes. Experience using statistical methods, survey design, data visualization, and evaluation software to support educational assessment, accreditation, and
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to technologies optimization. The research team has the ambition to address all the needed scientific fields to understand turbulent and multiphase flows from simulation: numerical methods, turbulence models
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, or on the observation and monitoring of science and technology or system of higher education, in Portugal or abroad. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20
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numerical methods for 3D reconstruction and camera motion estimation from higher-order geometric primitives, with particular attention to conics, silhouettes and quadric surfaces. The goal is to overcome some
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to quantitative specifications in robotics: kinematic envelopes, manipulability measures, reachable and dynamic workspaces. • Working knowledge of and experience in numeric inverse kinematics via image Jacobian and