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in software development, and keen interest in dynamics of stellar systems. A key task is to lead the development and support applications of our pioneering code for orbital modelling of stellar systems
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transformation processes and to conduct research with societal relevance. Our research group is excellently embedded in the international network of researchers and practitioners, and we strive to contribute
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application-orientated research projects Willingness to engage in international networking and interaction with research institutions and colleagues in Islamic theology and related disciplines Outstanding
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, conference presentations) A statement from your supervisor committing to support your finalization phase Compliance with the CoBeNe regulations for PhD candidates (agreement to the Code of Good Practice, FÖP
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habilitation project. Networking: You will benefit from close ties to national and international science. Work-life balance: You will have flexible working hours and can also work remotely (partly) by
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continuous mentoring schemes, multiple opportunities for national and international scientific networking, and transferable skills training for enhancing careers inside and outside academia. Your personal
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Machine Learning, Code Analysis/Generation for Machine Learning and MLOps, and Continuous Delivery and/or MLOps. You participate in research projects and studies. You hold university courses within
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education facility. We offer innovative national and international state-of-the-art research projects, interdisciplinary collaborations and a large network of research partners around the world. We also offer
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methods to address complex challenges in economics and business. In addition, the DataScience@Uni Vienna research network offers extensive opportunities for cooperation with researchers from various
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Auxiliary Sciences with a focus on the Middle Ages in order to implement a methodologically and chronologically comprehensive strategy. Through teaching, research and networking activities, the professorship