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Field
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Primary Supervisor: Prof Thomas Mock Scientific background Microbial rhodopsins (RHOs) are common in eukaryotic plankton including diatoms, which contribute ca. 45% of annual oceanic primary
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summertime in the northern mid-latitudes, including the North Sea. For example, preliminary studies estimated a 30-year energy production decrease of 5% in summer and 2.5% in autumn. This introduces
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significant and growing threat to communities worldwide, intensified by climate change and sea-level rise. Traditional coastal defence structures can be ecologically disruptive and expensive. Porous breakwaters
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Primary Supervisor - Dr Tiziana Luisetti Scientific background Climate change related tipping points (e.g. a slowdown in the North Atlantic ocean currents) may pose risks to marine resources (e.g
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research spectrum covers a unique range. Institute of Coastal Ocean Dynamics The Institute of Coastal Ocean Dynamics at the Hereon develops innovative technologies, investigates the physical and
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concessions being constructed with denser lay-outs. To enable the construction of wind energy in deeper sea basins, the transition towards floating offshore structures is moreover gaining attention. A final
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Work group: Institute of Coastal Ocean Dynamics Area of research: Other Part-Time Suitability: The position is suitable for part-time employment. Starting date: 25.08.2025 Job description: PhD
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Division of NORCE Norwegian Research Centre there is a 3-year full time PhD research fellow position available within the field of modeling and simulation of CO2 storage. The position is for a fixed-term
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
from AWI’s FRAM Observatory and other AWI expeditions. Furthermore, the products will improve parametrizations in high resolution coupled ocean-biogeochemical modelling. Your Tasks Create and evaluate a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 2 months ago
models as predictive tools to address questions regarding the response of deep-sea ecosystems to various pressures. A key question addresses the best combination of ML and network analysis to maximize