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Field
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for simulations, we aim to explore solution strategies to calculate the amount of water given meteorological data and map data. Here, in addition to traditional discretization methods such as finite elements and
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against existing commercial technologies. Key Responsibilities: Perform literature review on data available for commercial processes Provide estimations for data not available in literature Develop process
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Wellbeing Across Lifespan (SWAN) brings together expertise from the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact
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how people estimate quantities. The project combines theoretical modeling with behavioral experiments to advance our understanding of the cognitive processes that connect our sense of magnitude with
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element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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Science and Technology. It aims to develop computational representations and methods for efficient sequential decision-making under uncertainty with applications in multi-robot domain. We will explore
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epilepticus. You will work in the group of academic neurologist and computer scientist Dr Gregory Scott, with a team of collaborators having expertise in translational neuroscience, clinical neurology, signal
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 25 days ago
to understand cumulative climate risks, specifically to produce hazard maps and multi-criteria hazard risk assessment methods integrating multiple parameters to estimate the spatial susceptibility of key climate