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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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communication skills are required for this position. We are seeking a bright and empathic person with a PhD in materials science, materials science in soft and biomaterials, MEMS processes, advanced lithography
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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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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell
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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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, 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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PhD degree (or equivalent). Specifically, a PhD in Energy Engineering, Mechanical Engineering, Chemical Engineering, Environmental Engineering, or a related field. We seek candidates with strong
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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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-mortem and fractographic analysis Collaborating with colleagues at DTU Energy and industrial partners to improve the reliability of SOEC stacks Publishing your research results in relevant peer-reviewed
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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