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. - Neural networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In
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subsurface leaching into groundwater within agricultural systems experience in statistical analysis of research results or willingness to acquire such as well as to complete a PhD degree self-motivated
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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notebooks adherence to principles of good scientific practice, integrity and laboratory safety at all times integration into a dynamic, international team excellent research communication skills in English
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research If you are interested in a PhD, there is the possibility to support you in this endeavour We offer Secure remuneration according to the collective agreement (TV-L) including the usual social
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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Germany in a real campus university with an internationally acclaimed central building by Daniel Libeskind and the directly adjacent Wilschenbruch nature reserve, a high level of job security as part of
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contemporary social science or historical transregional or transnational perspective. Topics could include, for example, issues of crisis and security, such as conflicts, revolutions, upheavals, but also
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established health management and occupational pension provision. As a public funded employer, we offer you a secure workplace and facilitate your individual career with our comprehensive training and
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and