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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 27 days ago
, Dynamics and process attribution in a seamless model from coastal shelves to the open ocean. The ERC group, led by Prof. Dr. Judith Hauck, is located in the Marine Biogeosciences section at the Alfred
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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sets from model simulations to assess and evaluate ocean biogeochemical responses and ecosystem impacts on various ocean and coastal areas. Personnel will interact with active groups at AOML and GFDL
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of electrodes and catalysts for low temperature fuel cells, electrochemical hydrogen generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in
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generation, batteries, as well as heavy metal removal from aqueous solutions. By designing well controlled model systems in combination with powerful analysis and characterization techniques, improved
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and writing experience. Be able to work independently in remote, coastal environments and to travel extensively across Europe to spend time at partner institutions. Excellent skills in oral and written
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to Umeå Marine Sciences Centre and the Department of Ecology, Environment and Geoscience, supported by multidisciplinary teams with complementing expertise in marine biology and AI-driven modelling and
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). The position will focus on using AI, particularly multimodal transformer-based deep learning models, to extract and leverage information from genomic and chemical structures. Applications include infectious
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of conceptual and numerical models describing sediment material properties, sediment and water transport, leveraging in-situ and indirect measurements such as geophysical and/or remote sensing