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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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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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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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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
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University Assistant Praedoc to join the dynamic research team led by Univ. Prof. Sara Merino Aceituno, PhD. The research areas developed by the team are in particular related to kinetic theory applied