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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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the right methods and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies
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focused on long-term processes, where economic theory and quantitative methods are important methodological tools. Strong research areas at the department include economic growth and structural
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, including a good ability to conduct,develop and lead educational activities on different levels andusing a variety of teaching methods a good ability to supervise doctoral students to achieve a PhD; a good
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and lead teaching and other educational activities on different levels and using a variety of teaching methods. An ability to supervise doctoral students to achieve a PhD. An ability to collaborate with
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%). You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model
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duties listed above. Qualification requirements Applicants must have: A PhD or equivalent research qualification in physical geography, environmental sciences, or forest ecology Previous research
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analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership
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and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your
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conduct research in several areas: analysis of high-dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modeling, applied research in social science, as well as stochastic models and