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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 25 days ago
"Epidemiology". VBD-MODE is an interdisciplinary German consortium that advances modelling and forecasting of vector-borne diseases toestimate current and future burden and strengthen preparedness. It integrates
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and cryospheric change. Findings will inform glaciological forecasting, climate modelling, and environmental policy. Available PhD position Reykjavik University invites applications for a full-time, on
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- and risk optimal installation and operation of offshore wind farms depend on accurate forecasts and predictions of environmental conditions and response of vessel and auxiliary systems. The focus
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applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
intelligence is growing at a fast pace, the bulk of the world's computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics
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temporal modelling, multimodal analysis, and risk progression modelling to forecast deterioration patterns and estimate the remaining useful lifetime of infrastructure components. The research also
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the Portuguese Labour Code approved by the Law no. 7/2009 of February 12th, as amended. The contract should have a forecasted duration of 12 months and should not be extended further than the project duration and
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into visions and scenarios for the energy transition Mapping/visualising Indigenous knowledge of climate and weather to support energy forecasting and planning More broadly, applicants are encouraged
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, with a focus on policy, economic, and cultural implications. The center is recognized for its strong profile in analytical demography, demographic modeling, and forecasting. Its research meets
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safety. In particular, the candidate will investigate and further develop statistical and machine learning methods for modelling and forecasting traffic safety outcomes, and contribute to data collection