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Archaeological Collections Within the Third Science Revolution Reconceptualizing Research Methodologies in Heritage and Collection Studies Candidates from diverse backgrounds—including heritage studies, museum
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Engineering. Consider our website for more information about the working conditions at the University of Groningen: https://www.rug.nl/about-ug/work-with-us/ We invite you to submit a complete application
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at universities, such as thesis supervision and assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, human-computer interaction or similar. Self-drive
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workload for clinicians. Collaborate with experts in AI, data science, and medical imaging to develop integrated solutions Engage in translational research, bridging the gap between technological innovation
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of Economics and Business The Faculty of Economics and Business offers an inspiring study and working environment for students and employees. International accreditation enables the Faculty to assess performance
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meals for field teams, and renting and driving vehicles. Collecting and processing data, and ensuring regular backups to RUG and KNIR storage systems. Short stays at the KNIR Institute in Rome may be
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the natural sciences in The Netherlands, housing the sciences of the University of Amsterdam and of the Vrije Universiteit as well as several other national research institutes next to CWI. For more information
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis
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PhD position on past, present and future global inland-water methane budget Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, indexes for interactive data analysis