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. Develop capacity-estimation, demand-forecasting, performance-benchmarking, and what-if assessment methods to support planning and operational decision-making. Investigate the operational, environmental
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and student guidance. Assist in the preparation and writing of research grant proposals. Job Requirements: PhD degree in computer engineering, Computer Science, Electronics Engineering or equivalent
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 13 hours ago
just medicines. Research Project: Under the guidance of a mentor, you will implement two-stage meta-analytic models and weighted least squares correlation methods to estimate the surrogacy strength
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to art historical research through artificial intelligence, immersive technologies, computer vision, computational analysis, digital heritage, or related methods. Salary and benefits £44,247 to £50,379
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-the-loop tools using methods such as eye-tracking, physiological sensing, and uncertainty visualization, contributing to the advancement of research and innovation at Nanyang Technological University. Key
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and evaluation of the developed methods using relevant imaging datasets and downstream computer vision tasks. This appointment is subject to UCL Terms and Conditions of Service for Research and
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pipelines for data from DAS systems; Development of methods for geolocating DAS channels and estimating the geometry of instrumented submarine cables; Production of technical and scientific documentation
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake
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methods, we plan to automatically measure the processes of change in sign languages. In addition, we will create a series of online perception tasks, which help us to understand how signers recognise