37 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" positions at Nature Careers in Austria
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Discovery group of Professor Reinhard Maurer. This project will focus on the development of novel machine learning representations of electronic structure and quantum operators. These surrogate models will be
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development. Incorporating recent research findings into our teaching is of paramount importance for us. Subsequently, our expertise is requested for the development and revision of state-of-the-art curricula
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) - one of the largest quantum hubs in Europe - and the Austrian Cluster of Excellence quanta. The group’s research combines the development of scalable photonic quantum technology for quantum computing and
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approaches, thereby making use of the unique infrastructure and expertise in the department and ideally bridge the Departments of Functional Ecology & Evolution and Palaeontology. For this position, we seek a
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teaching, as well as access to a well-equipped library, enable excellent academic training and personal development. The position is temporary and should ideally be filled as soon as possible (preferably by
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, metabolic liver disease and immune responses. We are an interdisciplinary research team working at the interfaces between nutrition and the development of metabolic diseases as well as healthy aging. We build
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leadership, i.e., the head and vice-head. Overall, the hub provides services in four areas: Strategy • Research • Teaching • Outreach Strategy The senior scientist is responsible for the continuous development
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addition we also offer an attractive career development program and an extensive range of social benefits) Target group §99 (5) positions offer academics with high potential and the relevant achievements
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Postdoc in Invertebrate Evolution with a focus on either comparative morphology, EvoDevo, or phylogenomics. We are a dynamic, international group situated in the recently built University of Vienna Biology
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-phonon coupling. You will contribute to the development of new dynamics software and machine learning methods for the computational design of catalyst materials. The employment duration is 3 years