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spectroscopes for trace-gas analysis, etc. Coordinating the maintenance of the equipment Supporting the measurements of Nitrogen balance and soil greenhouse gas fluxes at SmartField site) Your profile We expect
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analysis and more You will join the DTU Biosustain’s Reconstruction Team, led by Patrick Phaneuf and directed by Prof. Bernhard Palsson and Prof. Lars Nielsen. You will work closely with skilled scientists
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within energy systems. The interdisciplinary research can draw from operations research, systems engineering, mathematical modelling, data science, economics and political analysis. The work will require
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for root mixture analysis, and a microCT scanner for 3D plant-soil model construction. These technologies provide unprecedented opportunities for non-destructive, high-throughput plant trait analysis
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structured manner. The primary responsibilities will involve analysis of 3D volumetric data, organizing data and code, and programming related to image processing. You will be part of a team of researchers
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colleagues at the Department and Faculty to explore new possibilities, implement new tools, and critically evaluate their teaching practices. This exploratory and experimental approach is an important element
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into the projects’ finances, project details and research field. Business model analysis. Ad hoc tasks. Assisting with the timesheets. Onboarding meetings for new projects. Qualifications We expect you to have: A MSc
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academia or industry. Solid and proven experience in bioinformatic analysis of multiomics datasets with expertise in one or more of the following: bulk or single cell transcriptome sequencing (RNASeq
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extensibility, and flexibility to support advanced data structures and analysis. Play a key role within the Data Team as the main interface to the quantum hardware platform teams to understand their control
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experiments, phenotyping of gene knockout mice and performing blood pressure measurements using radiotelemetry are necessary for the position. Experience with proteomics and data analysis, including visual