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four-year PhD position in Deep Learning for Metocean data (surface waves and ocean parameters) at the Division for Oceanography and Maritime Meteorology at The Norwegian Meteorological Institute (MET
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Supervisor details: Lead Supervisor Kieran Hunt, k.m.r.hunt@reading.ac.uk , Department of Meteorology Co-supervisors Hannah Bloomfield, Hannah.Bloomfield@newcastle.ac.uk , University of Newcastle
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Job Description Are you looking for a guided long-term position at DTU to establish a scientific career within meteorology and the wind energy sector. This Tenure Track position is an ideal way
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energy data lifecycle spans pre-construction (e.g., meteorological mast data, LiDAR data, wind climate and energy yield modelling, environmental impact assessment data), operational phases (e.g., SCADA
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vegetation results in different temperatures in the sunlit and shaded areas that depend on the solar radiation, physical state of the surface, and meteorological conditions. Models that combine the simulation
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on opportunistic observation data and various influencing factors (e.g. meteorological, climatic). The final step is to contribute to the development of a forecasting model that will predict the pollen drift
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change. As a PhD candidate, you will be part of a research group at GERICS in collaboration with the Meteorological Institute of the University of Hamburg. The goal of the project is to advance
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publish them in scientific journals Requirements A master’s degree in physics, meteorology, geosciences or related fields relevant for Earth-system science. Experience in climate/Earth-system modelling is
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The section for the Physics of Ice, Climate and Earth at the Niels Bohr Institute, the Complex Physics group at the Niels Bohr Institute, the Danish Meteorological Institute (DMI) and the Northumbria University
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Supervisor details: Lead Supervisor Rémi Tailleux, R.G.J.Tailleux@reading.ac.uk , Reading University/Meteorology Co-supervisors Alessandro Silvano, A.Silvano@soton.ac.uk , University of Southampton