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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 3 hours ago
ongoing research efforts in the development of statistical 3D models of Horses. About us We are creating the world’s most realistic human and animal avatars for use in research, film, virtual reality
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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, computer science, mathematics, statistics, physics, or a related area that is considered relevant for the research topic of the project, or completed courses with a minimum of 240 credits, at least 60 of which must
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the difference between Home and International fees. Hours: Full Time Closes: 13 April 2026 Background Animals with complex life histories are particularly vulnerable to environmental change. Afro-Palearctic
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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image correlation is an effective tool to characterize material properties. The analysis of the images can provide a fair assessment about the changes in material behaviour under different operational
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well as in urban areas. See also: https://www.slu.se/en/about-slu/organisation/departments/ecology/ About the position The researcher will work in the field (in southern Sweden), with statistical analyses, and
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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complexity of genetic evaluations are expanding rapidly. For example, for methane emission different recording techniques might be used, records might be collected at different biological stages or in
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working hands-on with a wide range of individuals. Equally, they should be comfortable with statistical analysis of data. The research will focus on creating consumer-centred testing methods, exploring how