147 parallel-processing-bioinformatics-"https:" positions at Nature Careers in Denmark
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information For further information, please contact: Professor Daniel Otzen, dao@inano.au.dk Application procedure Shortlisting is used. This means that after the deadline for applications – and with
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successful candidate will join the Gas Hydrate Research Group, contributing to ongoing and future research activities focused on developing novel gas-hydrate processes for CO2 capture and sequestration
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tasks, including but not limited to: Experimental work related to processing press cake and derived polymers into textile filaments Preparation, handling, and characterization of polymerbased and bio
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that addresses 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
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of Chemistry, and the group of Prof. Hobolth at the Department of Mathematics. A second postdoc with expertise in stochastic processes and statistical methods will be part of the project and you are expected
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Assistant professor in Analysis and Modelling of Nitrogen Cycling, Losses and Emissions in Croppi...
. This project aims to improve the evaluation of nitrogen losses in cropping systems by analyzing experimental results and carrying out process-based modelling. Additionally, you will apply your research findings
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be with the Department of Agroecology. More information can be obtained from Lars J. Munkholm (lars.munkholm@agro.au.dk). Application procedure Shortlisting is used. This means that after the deadline
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Research Mission Leader and Associate Professor in Biosolutions for Agroindustrial Biotechnology,...
engineered ecosystems. Research expertise spans enzyme engineering, biocatalysis, microbial engineering, microbiome research, food biotechnology, and process engineering, including pilot plant design and
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
decomposed into modular sub-components that can be either process-based models and/or deep learning models. MCL has the flexibility to replace any uncertain process description with a deep learning model
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processing. You will work experimentally in the Danish bog peatland ‘Store Vildmose’ where GHG measurements are currently performed with Eddy Covariance towers as part of the Danish Research Infrastructure