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agriculture to function well within the landscape. In this PhD, existing monitoring network data and locally collected field data will be available for the modelling work, in addition to freely available
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voted the "best university " in the Netherlands! A place to be proud of. Do you want more information? For more information about this position, please contact Tinka Koster, tinka.koster@wur.nl For more
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in their growth. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing
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. For more information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our selection procedure follows the guidelines of the Recruitment code
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. Important themes are logistical organisation of regional care and prediction of treatment outcomes for individual patients. Research activities involve collecting (prognostic and care logistics) data
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have the opportunity to design and conduct lab or survey experiments that reveal how people process economic information and form beliefs about future macroeconomics indicators. You'll have access
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and hardware. Expect a dynamic, cross-border innovation ecosystem where your contributions directly influence the future of sustainable transport. Information and application Are you interested in
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applicants from underrepresented groups in particular to apply. For more information, see also our diversity policy webpage: https://www.rug.nl/about-ug/policy-and-strategy/diversity-and-inclusion/ Our
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters
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processing (e.g., baking), and identifying transformation and degradation products using high-resolution mass spectrometry (HRMS) and advanced data-processing tools. This project offers a unique opportunity to