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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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ideological orientation. Investigates how these ideological tendencies change under financial analysts or financial advisor personas, and how they affect stock forecasts, investment recommendations, and ESG
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., KPI forecasting, RAN energy cost reduction, or anomaly detection—all of which are still largely open problems in 5G production networks. The NDS group has a notable history of breakthroughs in
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transdisciplinary expertise that bridges physical activity, sports, public and planetary health, circular economy and sustainability. The Doctoral Candidate in the project ‘Forecasting Climate Change Effects
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, and cultural geography) and demography (population structures and processes, demographic forecasting, population policies) within the Slovak Republic. Our current programmes are in full compliance with
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Twins & Energy Analytics Forecasting & Optimization Algorithms Green Hydrogen Technologies ICT Applications in Energy Systems GIS Applications in Energy Planning Interdisciplinary and innovative research
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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methods for quantitative characterisation and forecasting of deep fluid circulation" (task leader: R. Chassagne) within the "PEPR sous-sol bien commun PC9", and will therefore use data from the Rhine Graben