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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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programming skills and experience, interest in data science methods would be helpful Strong publication record in peer-reviewed journals Ability to work in an international team Good language and communication
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balance work and family life: on-campus kindergarten places including vacation care, parent-child offices, etc. Further training opportunities and language courses Spacious cafeteria with a wide range of
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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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and within a team, meticulous attention to detail, and strong critical thinking skills are essential for success. The working language of the project group is English. OUR OFFER The Department
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in a matrix environment. Fluent language skills in English are mandatory, German language skills is a plus. How to apply Please upload your research proposal using our submission template, complemented
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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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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
carbon cycle modelling Proven skills in Fortran, Python, or similar programming language Skills in the processing, statistical analysis, and visualization of data Strong English language skills Ability
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of the grade system), list of chemical lab methods/spectroscopic techniques you have personally applied, publication list if applicable, certificate of language test, information on driving license, statement
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modelling Experience in at least one higher programming languages (e.g. FORTRAN, c++), and scripting language (e. g. Python, R) is required Experience in the development and application of (preferably global