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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled
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to apply Website https://www.jobbnorge.no/en/available-jobs/job/308098/phd-research-fellow-withi… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications
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multimodal foundation architectures. Full-time, TV-L E13, 100%, fixed-term for 3+ years. Position PhD Student (100%) Remuneration TV-L E13 (Fully Funded, fixed-term for 3+ years) Field Representation Learning
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environments that aims to address how distributed sensing, fibre-optic monitoring, environmental observations, drone- and satellite-based data, operational infrastructure datasets, and/or machine learning can be
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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hedonic and causal machine learning models, to estimate the impact of renewables on house values. We will work closely with a range of stakeholder groups to tailor outputs in ways which maximise their value
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of Nursing: teach, participate in service-related activities that support the school, and engage in clinical scholarship. In addition, as an advanced practice nurse educator, the faculty member is encouraged
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Summary The Department of Mechanical and Materials Engineering (MME) at the Ritchie School of Engineering and Computer Science at the University of Denver is looking to hire adjunct instructors to teach
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related datasets, ensuring data quality and maintaining clear, reproducible analytical workflows. Carry out statistical and machine learning analyses to identify factors, patterns and trends associated with