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the synthesis of functional inorganic materials. You will be developing modelling methods to explain and predict how molecular additives can be used to control the formation of particular phases and produce
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roads, railways and communities in Norway and in mountainous regions worldwide – and climate change is making them harder to predict. Protection structures are our first line of defence, yet they are
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candidate (m/f/d) for the “Development of a digi-tal twin and model predictive control for filtration processes”. Project Join a research initiative in the field of Industry 4.0 and cyber-physical systems
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comparison with reference data. You have prior programming experience in Python and have used version control. You are curious, self-motivated, and interested in using modeling and quantitative reasoning
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decision-support tools, support predictive modeling, and translate complex information into clear insights that inform roster construction, financial planning, competitive performance, and long-term strategy
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management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls, hospitalization, and cognitive decline; Natural Language Processing (NLP) for remote cognitive assessment; image
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign
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solutions for offshore wind turbines, enabling to enhance their structural awareness, real-time reliability assessment, and predictive maintenance decision support through integrated sensing, modelling, and
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mechanisms associated with immune phenotypes, as well as development and application of machine-learning and statistical models for classification, prediction, feature selection, dimensionality reduction