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spoken English skills and the willingness to take part in further training as part of the language courses in German offered internally interest in science communication & transdisciplinary research
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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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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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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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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
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HPC clusters, genome browser) and lab infrastructure to sequence and analyze genomes. English is the working language in our lab. Senckenberg and TBG provide Flexible working hours – opportunities
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interdisciplinary team, to present research to the academic community and the general public, and to participate in the bodies of PRIF’s internal administration (the language spoken in PRIF’s central administrative
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international political economy, in particular on topics related to geopolitics and geoeconomics. For a list of topics see our “Geopolitics and Economics” Initiative. The working language is English; excellent