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becomes a real challenge to uniquely extract information on their layer properties in order to understand and improve their performance. A way to “break the nanometric barrier” for structure analysis is to
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to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht
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contribute directly to innovations in high-tech industry. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before August 12, and
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procedures for yourself and, if applicable, for your family. Feeling welcome also has everything to do with being well informed. We can assist you with any additional advice and information about for example
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interdisciplinary and qualitative empirical research and a sense of urgency for turning theory into practice and practice into theory in close collaboration with the research team and their partners. Information and
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the physical and biological pumps during rapid climate transitions (e.g., the last glacial period and Holocene) using sediment records. Our data will be used in marine carbon cycle models to predict
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the Netherlands may be eligible for a substantial tax break. For more information, see the website. Faculty The Faculty of Science at Leiden University is a world-class faculty where staff and students work
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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 their leading research
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format (e.g. a practice-based piece with a reflective text). Contact information of two academic referees: Please provide the full names, institutional affiliations (if applicable), and email addresses
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods