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of plants to challenging environmental conditions. The PhD candidate will be integrated in the Vienna Doctoral School of Ecology and Evolution (https://vds-ecology-evolution.univie.ac.at/). The project: We
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of Porous Materials lead by Professor Freddy Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields
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digitaisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
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demand for excellence, conduct top-level international research and teaching. Are you also looking for the right space to develop your potential? We are seeking a/an University assistant predoctoral 39
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work on optimization and optimal control related to partial differential equations with emphasis on new developments related to machine learning and data science. Your profile: • Doctorate related
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this sound like you? Then join our accomplished team! About the team: The research group Neuroinformatics develops machine learning methods to study the relation of neural activity and cognitive processes, and
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scientific environment and a great working atmosphere. Aim is the development of novel metal-based radiopharmaceuticals for the diagnosis and therapy of cancer. This interdisciplinary and application-driven
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). The project aims to create a synthetic population patients using Large Language Models (LLMs). These AI-generated patient profiles will be employed to develop and test interventions designed to increase vaccine
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demand for excellence, conduct top-level international research and teaching. Are you also looking for the right space to develop your potential? We are looking for a/an University assistant predoctoral 34
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research. Its research covers, amongst others, the emergence, development, and commercialization of new ideas and inventions. We try to better understand how various incentive mechanisms, different forms