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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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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 interested in
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and 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
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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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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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geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and climate, and topics could
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(quantitative research methods and advanced proficiency in statistical software such as Mplus, R, etc.) • Teaching experience/experience in e-learning • Experience in student supervision • Excellent
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) within the Department of Pharmaceutical Sciences has a vacancy to replace a University Assistent praedoc (PhD) to investigate bacteria isolated from various environmental sources for their ability
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continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: We are seeking a dedicated PhD student to
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on Japan and basic methods at BA level supporting our administrative tasks, in particular in regard to the u:japan lecture database This is part of your profile: MA degree in Japanese Studies and/or