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addition, it provides an understanding of basic research methods, analytical tools for cardiovascular studies and interdisciplinary skills like scientific writing. Each module will be concluded with a
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to cognition. In order to approach these questions, neuroscience researchers develop and use a wide spectrum of experimental and analytical methods from a broad variety of disciplines. As the techniques and
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world regions together. At the same time, a historical approach is related to systematic-analytical categories from the social sciences, evidently including human geography. What we provide is a well
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chemical evolution in the magma reservoir. The geochemical composition, isotopic tracers and the physical properties of the magmas are examined analytically and experimentally. They make it possible
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
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of semiconductor device physics, especially MOSFET operation, modeling, and scaling. Strong analytical and problem-solving skills, with the ability to work independently and in collaboration with multidisciplinary
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itself and changes the way it should appear at high photon energies. The details of this process can be explored both analytically and numerically, the latter using simulations of magnetohydrodynamics (MHD
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the following bases of assessment: Documented subject knowledge of relevance to the area of research Analytical skill Other documented knowledge or experience that may be relevant to doctoral studies in
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, such as participant recruitment or data collection, is not required but would be an advantage. All applicants must have strong analytical skills and a proven interest in interdisciplinary and teamwork