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knowledge of programming (e.g., Python, R, or MATLAB) Experience of working in tropical cities Experience in systematic literature review is desired Interest and/or experience in urban landslide research
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programme of high-quality empirical research commensurate with the level needed for a PhD qualification, which advances the field of Environmental Psychology • Publish (or submit for publication) at least
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high
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structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors
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Demonstrated research competence and initiative, evidenced by international publications in peer-reviewed journals Excellent command of English (C1 level or higher) Experience with LC-ICP-MS/MS and spICP-TOFMS
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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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teacher training programs, particularly in the field of mathematics education (language of instruction: German). In addition, the position involves the establishment of an independent research agenda and
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preference. Excellent oral and written English language skills are required. The working language of the lab is English. An autonomous work style and genuine curiosity are both required and supported. All
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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving