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The FB2 situated at Leibniz-Centre General Linguistics (ZAS, https://www.leibniz-zas.de/en ) invites applications for a two-year post-doctoral research position (f/m/d) (39h/week; TVöD 13 Bund level
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and develop innovative methods for answering social science questions through mining and understanding of behavioural data using techniques from NLP and Large Language Models (LLMs). Special emphasis
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contact details, and all stages of education and employment. List of skills, awards, publications List your skills, especially language skills (including level of proficiency), that you think might be
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the following fields: programming language (Python, C/C++), machine learning and deep learning methods (PyTorch, TensorFlow), knowledge management and databases, computational biochemistry or biophysics
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well as scientific publication in single- and co-authorship; Participation in the bodies of PRIF’s internal administration (the language spoken in PRIF’s central administrative bodies is English). As applicant, you
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research agenda; Ability to work interdisciplinarily; Willingness to present research to the political and general public; Willingness to participate in PRIF’s self-governance. The language spoken in PRIF’s
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in the Bachelor's and Master's degree programs of the Department, including the areas of statistics and methodology (8 weekly hours per semester). Teaching language is German. Supervision of students
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institution, located in Germany we require good to very good written and spoken English skills and the willingness to take part in further training as part of the language courses in German offered internally
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of scientific results and presentation Good skills in communication, project coordination and management Good language skills in English Further Information Prof. Dr. Yan Lu +49 30 8062 - 43191 yan.lu@helmholtz
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 20 days ago
biogeochemistry, ocean modelling Proven skills in Fortran, Python, or a similar programming language Skills in the processing, statistical analysis, and visualization of large data sets Strong English language