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Field
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half years to complete. Ideal candidate This PhD research opportunity would suit someone with a strong quantitative background (e.g. econometrics, statistics), and an interest in applying their skills
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of Reference for Languages (CEFR) Technical equipment and programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will
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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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, (food) marketing, or related social sciences disciplines, strong analytical skills, experience with relevant statistical methods, proven interest in topics related to sustainable food systems, and strong
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computer science, bioinformatics, physics, engineering, computer science, statistics, mathematics) or in health science related fields (e.g. medicine, veterinary medicine, pharmacy, life sciences) is mandatory
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different modules. Examples of these modules include the following: introductory modules (international health fundamentals and policy & politics), basic research topics, statistics, scientific management
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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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Associated Applied Statistics and Empirical Methods (ASEM) Programme Faculty of Chemistry Chemistry Thematic programme Catalysis for Sustainable Synthesis (CaSuS) Programmes Faculty of Geoscience and Geography
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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 12 hours ago
engineering, statistics, or quantitative social sciences) may also fulfil requirements for the programme if applicants have sufficient background knowledge in economics. Applicants whose native language is not
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Studies and have performed exceptionally well in their studies. Applicants from related fields (such as Industrial Engineering, Statistics, or quantitative social sciences) may also fulfil the admission