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-based) / 213 points (computer-based) / 80 points (Internet-based) and/or IELTS: 6.0 points (This does not apply if your prior education was in English.) Application deadline 15 June for the following
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applications, farming systems analysis, regional planning, environmental economics, and policy and rural development. Proposal (eight months): This features the research concepts and design, a literature review
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qualifications A masters degree in neuroscience, physics, evolution and ecology, or related quantitative fields. Prior experience with Python or Matlab, and a willingness to learn analysis tools. Excited about
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, workshops and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities Remuneration according to TV-H, company pension scheme, child allowance and
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(compulsory) Lecture series Expert courses Summer schools Soft skills courses Training in scientific programming and statistic software Project management, computer literacy Presentation, communication Writing
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Applicants must provide proof of their German OR English skills. German: TestDaF 4 or DSH 1 or equivalent English: TOEFL 550 (paper-based), 213 (computer-based), 79 (Internet-based) or equivalent Application
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to 1,500 EUR per month. Academic admission requirements Master's degree or equivalent in the life sciences, mathematics, computer sciences, statistics, biophysics, or a related field Language requirements
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on average expenditure: Rent, including ancillary costs (in Erlangen, Nuremberg and surrounding areas): 410 EUR Food: 198 EUR Clothing: 46 EUR Travel costs (public transport and/or car): 89 EUR Study materials
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proficiency in English The last MA degree should have been obtained less than six years ago. Language requirements IELTS certificate (band 6) TOEFL (550 paper-based, 213 computer-based, 80 Internet-based
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-Lettres network) or teach courses themselves (e.g. if obtaining a post/"contrat" doctoral at one of the institutions). Special promotion / funding of the programme Franco-German University (FGU) Course