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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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degradation. You will lead research related to pilot-scale CO2 capture, but also fundamental research on innovating CO2 technologies from basic knowledge of physico-chemical properties, reaction kinetics
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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sciences (e.g., Soil Sciences, Earth Sciences, Biogeochemistry, Environmental Sciences, Ecology, Biology) or related subjects and strong knowledge in the dynamics of organic matter in natural systems
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. Collaboration and documentation: You will closely collaborate with international experts from DTU Physics and DTU NanoLab, sharing knowledge and methodologies, and meticulously document your processes to ensure
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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environment. Colleagues come from diverse backgrounds and nationalities, creating an inclusive and inspiring atmosphere where knowledge sharing and interdisciplinary work are highly valued. The section has
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experience in sensor technologies or IoT being highly desirable. A background/knowledge/passion in agricultural, environmental, or animal science relevant to the project focus will be desirable. Familiarity