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Field
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Host Institution: Oceanographic Institute (IO) – University of São Paulo (USP), São Paulo state, Brazil Abstract: Marine heatwaves (MHWs), defined as prolonged periods of extreme warm sea surface
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responsibility. Through project collaborators, the candidate will have the opportunity to develop a broader international network around ocean observations, modelling, climate variability and dynamics. Salary and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 10 days ago
Functional Wadden Sea Biodiversity Analysis (d/f/m) Background The Wadden Sea, a UNESCO World Heritage Site recognised for its remarkable natural value, has undergone a major reorganisation of its biodiversity
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in geomicrobiology modelling: microbial dormancy in Earth's ecosystems and biogeochemistry M/F
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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work in the Chase Ocean Engineering Laboratory at UNH. Duties/Responsibilities: Literature review and background research on plant biomechanics and sediment transport in vegetated, coastal regions. (15
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Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking postdoc (M/F) in modelling of geomicrobiology (PhD-level position) in Marseille
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
Area of research: Scientific / postdoctoral posts Job description: Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean" (d/m/f) (HIPP26 #3) Background
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles