34 data-analysis Postdoctoral positions at Technical University of Denmark in Denmark
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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research, publication, data analysis, and laboratory work, with the opportunity to participate in planned field expeditions to Greenlandic coastal and shelf waters. You will investigate key parameters
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, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses
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adaptive laboratory evolution or microbial strain selection Experience with CRISPR/Cas systems for genome editing Familiarity with omics data analysis and/or metabolic modeling Prior involvement in setting
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to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
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cell differentiation towards several neuronal and vascular phenotypes Characterize cell populations using gene expression and microscope analysis Contribute to establishing embedded 3D bio-printing
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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in the communication, analysis and execution of processes. You will be part of a team at DTU Computed supported by the Villum Synergy Fund and through the Danish Interdisciplinary Center for Digital