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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
the research environment and that you will contribute positively to the social working environment. We also expect that you will take part in our teaching activities and that you will report research results in
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data management Knowledge of material flow analysis, life cycle assessment modeling, social-LCA, and/or life cycle cost modeling Concepts of circular economy, climate mitigation models, planetary
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expect that you will be an important part of the research environment and that you will contribute positively to the social working environment. We also expect that you will take part in our teaching
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design to testing, programming neural interfaces, neural data analysis. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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; to discover new drugs and biomaterials through: preparation of hard and soft tissue preparation of human and animal samples for biological and imaging analysis studying disease mechanisms. You will process
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analysis of prepared electrode materials. Responsibilities and qualifications The main focus of the postdoc work will be on structural and electrochemical characterization of carbon materials for sodium ion
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protein analyses to assess structural changes in the modified proteins. The project also includes analysis of protein functional property changes (e.g. solubility, surface properties, and aggregation) due
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers