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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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-of-the-art techniques in extrusion, food structuring and multi-omic data. We also offer a great mentoring experience, a collaborative environment in which the candidate will be able to share across subfields
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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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-of-the-art techniques in extrusion, food structuring and multi-omic data. We also offer a great mentoring experience, a collaborative environment in which the candidate will be able to share across subfields
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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 are supported by
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candidate with strong methodological skills within coastal experimental laboratory work. You need to be able to work independently in the lab and take decisions on experimental setup and data treatment in
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alongside technicians and engineers, and would have good writing and communication skills. The position is for 2 years with possibilities for extension. For further information, please contact Associate
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Aabogade 40, 8200 Aarhus, Denmark, and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Head of section, Prof. Anders Bentien
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qualification, you must hold a PhD degree (or equivalent). Further information Further information may be obtained from Professor Mayank Jain, maja@dtu.dk , +45 4677 4909. Application procedure To apply, please
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, 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 on regulatory