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of Information Technology. We investigate and develop methods, theories, and technologies for digitalized data and the information centric society. Strong mathematical, algorithmic, and computational thinking and
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generation Energy Management Systems (EMS) to be integrated by different stakeholders, while demonstrating the value added of asset’s connection to common data space, reducing uncertainty and hence increasing
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optimization and coordination algorithms for BC Hydro–cVPP interaction and evaluate grid performance through simulated case studies, and analyze service offerings and pricing via case studies and apply social
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experience Evidence of experience with public-patient involvement and stakeholder engagement Track record in scientific publication and dissemination Experience with Machine Learning Algorithms and Artificial
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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processes within the soil–plant–atmosphere continuum. Sensing technologies, laboratory, field, and regional-scale experiments, as well as modeling approaches are used to bridge gaps between the different
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, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. Design and prepare materials and courses for training on various bioinformatics software and
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variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
pipeline into production, working with a team of scientists to develop, implement, and deploy cutting edge algorithms and approaches to astronomical difference image analysis, image resampling and