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The Kiel Institute for the World Economy is looking for a Research assistant (m/f/div) 38.4 h/month for 7 months for a research project on “Housing Shortages” at the earliest possible date. The research assistant will be involved in a new and highly policy-relevant project on the German housing...
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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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on literature written in a corresponding language or depicting a corresponding region You will contribute to the conception and organization of academic conferences and participate in academic conferences within
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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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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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especially N-dynamics basic knowledge of at least data processing or programming language (e.g., R) as well as vegetable production is an advantage organizational skills, the ability to work independently and
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micro-econometrics and/or biostatistics. In addition, the candidate should be interested in developing proposals for health policy reform. The working language is English; excellent English skills
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models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis