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knowledge about natural resource management Knowledge of software R Strong skills and/or interest in mathematical and statistical modelling is a strength Ability to conduct field work in remote alpine areas
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be met: Advanced methodological knowledge in the form of completed master's course or documented exam in methods / theory of science at master's level A Scientific article assumed in a peer-reviewed
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This PhD programme is multidisciplinary and cross-disciplinary building on applied mathematics and physics, technology and engineering—and the interplay between these. The programme has an applied
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proposal should be 4-5 pages in length and contain an account of the key issues to be studied, research question(s), the theories and methods that will be used, research ethics and a timeline. The list of
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of the announcement, give a title, an outline of the research, including a research problem/research question(s), theory, research method and an exposition of the novelty of the research relative to the existing
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the interface between different scientific disciplines including ecology, evolutionary biology, mathematics and statistics, informatics, economics and social sciences. We aim to apply advanced statistical and
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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proposal of 5-8 pages must accompany the application. The proposal should present the topic, the research problem(s) and choice of theory and methods. The proposal should also include a progress plan for the