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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY-EMMYPHD [#27461] Position Title: Position Type: Student programs Position Location: Hannover, Lower Saxony
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role in the analysis of human linguistic communication, e.g., underpinning theories of pragmatic language use. This project is contributing to an active and growing research program investigating how
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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another quantitative social science. Proven skills in empirical methods and proficiency in at least one programming or scripting language (e.g., R, Python, Stata). - Experience with the integration and
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-on experience in programming for data analysis is an advantage. Proficiency in English is required; German is helpful but not essential. We Offer A 3-year E13 TV-L 60% contract with the possibility of increment
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documents, including OCR post-processing and parsing of legacy texts Proficiency in scientific programming (preferably Python), version control (e.g. Git), and data standards such as RDF and Darwin Core
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admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will