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strong scientific interests and self-motivation. They will have a degree in physics, mathematics, oceanography, meteorology, or a related science with good computing and numerical skills. Entry
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change will affect the air-sea fluxes of the major greenhouse-gases within a consistent physical and biological model framework. TRAINING This is a collaborative project between UEA, and the British
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of artificial intelligence starting in the department Physical Oceanography for a period of 36 months and a percentage of 75% (30h/week), subject to the funding of the project(s) by January 1, 2026. Remuneration
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specifically, the position requires solid knowledge of physical oceanography (ideally glaciology and solid/granular mechanics), as well as good oral and written communication skills (French and English required
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/ ) science teams via your supervisors at the British Antarctic Survey (https://www.bas.ac.uk/ ) and the National Oceanography Centre (https://noc.ac.uk/ ). You will present the research findings
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Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Physics Maths Meteorology Oceanography Geophysics or a similar quantitative science. Start date: 1st
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technology and the Arctic. The research into oceanography integrates biological, physical and chemical parameters’ interactions in the ocean, ranging from individual plankton to regional seas. We focus
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 25 days ago
Biological Oceanography, Bremerhaven, in collaboration with the Institute of Marine Ecosystem and Fishery Science of the University of Hamburg. The PhD project will focus on the population identity and feeding
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knowledge in physical oceanography, climate change, Earth Observation, Big Data and data science as well as machine learning. This is an exciting opportunity to work on an exciting and ambitious project with
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mechanisms. The overall goal of the research project is to develop process understanding and parametrizations that lead to improved, energetically consistent, climate models. Close collaboration with the other