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collection, satellite monitoring, fieldwork in Greenland, and advanced modeling techniques. The postdoctoral project will focus on Greenland and Antarctica, analyzing surface elevation change, ice loss
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algorithms, and the integration of models and algorithms into simulation analysis. As a formal qualification, you must hold a PhD degree (or equivalent) in areas such as chemical engineering, chemistry
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also be responsible for further developing source attribution models based on metagenomic data. Finally, as part of the capacity building activities in the project, you will contribute to the training
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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Infrastructure? No Offer Description We are looking for a highly motivated and dynamic Postdoctoral fellow with a PhD or equivalent degree to join the Merino Group at the Novo Nordisk Foundation Center for Basic
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competencies The applicant must hold a master’s degree in engineering and a PhD in a relevant field, such as electrical engineering, with expertise in physics-based modeling, machine learning, and optimization
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. Possible tasks include modelling and/or operating bioreactors for conversion of H2 and CO2 to e-methane. A background within microbial catalysis, gas-liquid mass transfer principles, process modelling
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optoelectronic platform for in vivo monitoring of brain organoids allowing for modeling of the diseases. The platform consists of two or multiple compartments which allows to monitor interactions between organoids
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these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as
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has gathered detailed data on the effects of contaminants on marine mammals over the last three decades, combining a variety of methods including PBPK modelling, TWI evaluations, mass balances, risk