50 processor "https:" "https:" "https:" "University of Michigan Ann Arbor" positions at Nature Careers in Austria
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DoCS ( https://docs.univie.ac.at ) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme
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this sound like you? Then join our accomplished team! Your personal sphere of influence: The research group Statistical Analysis and Inference (STAIN)( https://stain.univie.ac.at/ )at the Department
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. The subject of the PhD should be within the areas of expertice of the laboratory for Cognitive Research in Art History ( https://crea.univie.ac.at/). Your future tasks: PhD thesis, preferably in
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focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: https://martinpawelczyk.github.io/ . Tasks and Responsibilities
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We are looking for a highly motivated neuroscientist or engineer as a Postdoctoral Researcher to join the Liebscher Lab (https://sysneuro.i-med.ac.at), where we investigate how neural circuit
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quality assurance Furthermore, collaboration with experimental and other theoretical groups in Vienna is desirable. Candidates should also actively contribute to and collaborate with the CRC TACO, https
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language technologies, such as: Neural Machine Translation (NMT), LLMs, Computer-Assisted Translation (CAT), Terminology Extraction and Management, Quality Assurance; experience working with professional
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at the University of Vienna and integrated into the Gravitational Physics group (https://gravity.univie.ac.at/), an active research unit engaged in fundamental theoretical questions of gravitation. The group includes
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demonstrate excellence in formal demography and demographic methods. The Department of Demography (https://demografie.univie.ac.at/) at the University of Vienna was established in 2019 and comprises a team of
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: https://ie.univie.ac.at/en/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after doctoral studies Outstanding research achievements, excellent