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are currently looking for PhD candidates for 5 different research topics. The position advertised here focuses on affordances of open science infrastructures. Data sharing is central to contemporary science. As
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: PhD degree in analytical, biological, food, or computational chemistry, biotechnology or related field Experience in mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge
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://sinologie.univie.ac.at/ Your future tasks: You will actively contribute to the Department’s research, teaching, and administration by Completing a doctoral (PhD) dissertation on a topic related to the contemporary
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: 3967 We invite applications for a PhD position in Plant Ecological Genomics at the University of Vienna, Austria. The position is part of an international research project co-funded by the Austrian
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results to both academic and broader audiences Undertaking administrative tasks related to the project Selection criteria: Required qualifications (essential criteria): Completed doctoral/PhD studies by
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Completion Contract for fellows of the DocSchool who have held a position as University Assistant (praedoc) or a PhD position at the University of Vienna before. This Completion Contract aims to support a
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particular terrestrial/mobile laser scanners and UAV laser scanners Completion of a PhD is desired Publications in SCI journals Teaching courses in German and English in the field of forest inventory, forest
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full professors, one associate professor, several postdocs and about 10 PhD and master students. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a
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submission of their thesis. All VDSEE PhD-candidates are eligible to apply, regardless of whether they have previously had a contract with the University of Vienna. The funding period is 4 months during which
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to focus on the completion and submission of their thesis. All VDSEE PhD-candidates are eligible to apply, regardless of whether they have previously had a contract with the University of Vienna. The funding