12 natural-language-processing-phd "https:" Postdoctoral positions at Aarhus University
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences and
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: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications must be submitted in English. The application deadline is at 11.59 pm Danish time (same as Central
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/ – Faculty of Natural Sciences http://www.au.dk/ – Aarhus University What we offer A full-time position. A role in an ambitious, research-intensive environment with strong international collaborations
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a PhD in biology, earth system or data science, or a similar field, and have several years of experience with interdisciplinary collaborations focused on understanding biodiversity dynamics by
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. Read more about the ABIS Project here: https://www.sdu.dk/da/nyheder/nnf_bevilling_dannelsesbegreb The position The position contributes to the theoretical and innovative work of the ABIS project, which
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and 95 PhD students. The department is responsible for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk
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. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology, cell biology or related fields. You should be experienced in cellular
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XFEL, ESRF, APS, and LCLS, depending on awarded beamtime. The project is supported by the Independent Research Fund Denmark. More information about the research group is available here: https
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team. Experience with or interest in comparative research across multiple democracies. For Postdoc 1, we particularly look for: Documented experience with computational text analysis, including natural language
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see