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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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better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: We are looking for a highly motivated and hardworking Prae Doc (PhD student) for 4
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. Visual Data Analysis you will develop methods/tools to enable more effective research, e.g., enabling medical professionals to explore and discover patterns in disease progression and to assess treatment
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sales, and the enlisting of volunteers To support the creation of reports or other formal documentation for university committees and senior staff To respond promptly to requests for documentation and
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"Urban Development & Mobility Transformation" focuses on researching and applying innovative tools and methods for sustainable urban development and the integrated planning of mobility systems. For our
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both older and more recent literary history. Ideally, they are experienced in interdisciplinary co-operation and have an interest in the methods and theories of literary research. They are also
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astrophysics, and uses 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
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developmental biology, chromatin, RNA and chromosome biology, and synthetic/computational methods (including AI/ML) that will address complex biological questions from a mechanistic angle. Together with IMP, GMI
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the preparation of scientific publications. You will also share your knowledge with Master’s and PhD students. You will actively contribute your expertise to the acquisition of third-party funding and
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Assistant Praedoc, you will pursue a PhD under the supervision of Janina Kehr at the Institute of Cultural and Social Anthropology with a topic of your own choice and join the Health Matters research group