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three-year doctoral research project that develops synthetic aperture radar-based sensing methods, models, and experiments targeted for human health monitoring in specific applications. The goal is to
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to facilitate enhancement of the student experience through innovative methods especially targeted towards online students. This position will develop creative approaches for online community development
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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Simulation Methods including scientific data processing and databases, software applications including human computer interface, support for science operation centres and downstream applications; Supporting
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Paulo José Carrilho de Sousa Gil IV - Work Plan / Goals to be achieved: Title: Non-invasive Blood Pressure Estimation and Reliability Assessment of Measurements Brief Description of Grant Objective
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experience. Experience: Knowledge of: 1. Basic gardening procedures. 2. Principles, practices, methods, equipment, materials, and tools used in grounds maintenance. 3. Methods and techniques for cultivating
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Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community.This position works closely with
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solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge. Develop creative new or improved equipment, materials, technologies, processes, methods
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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available. Areas of teaching interest include: Introduction to Neuroscience, Physiological Psychology, Cellular Neurobiology, Computational Neuroscience, Neurodevelopment, and Neuroscience Research Methods