46 condition-monitoring-machine-learning Postdoctoral positions at Nature Careers in Denmark
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in machine learning for advanced peatland mapping, starting 01-12-2025 or as soon as possible
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qualifications: Experience with GHG flux measurements (eddy covariance, chambers) or nutrient flux monitoring. Skills in process-based modelling or ecosystem resilience assessment. Teaching and supervision
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
comprehensive quantitative evidence and understanding of their capacity and cost-effectiveness for carbon sequestration under varying conditions. You will be part of a large international research project focused
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the foundations for reliable decision support and Monitoring, Reporting, and Verification (MRV) systems for reducing greenhouse gas emissions in Danish agriculture, particularly exploring conditions for the uptake
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research potential at the international level
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kinase modulators. Integration of gut microbiome and skin omics data: The focus will be on the intestinal microbiome's role in inflammatory diseases. Stool samples from psoriasis patients with conditions
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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engineering. Learn more about our work: www.healthtech.dtu.dk/3bs About the project Blood transfusions save lives - but donor blood is limited, perishable, and not always available in emergencies. Synthetic
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process