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three challenging fields of computer simulations, nano-manipulation, and biomedical engineering. MATTER builds on the well-equipped core facilities of UT and establishes synergies with the most
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision frameworks and tools (e.g., OpenCV, PyTorch, TensorFlow). Strong commitment to excellence in teaching and
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ancestral recombination graphs to study of the genetic basis of diseases, incorporating ancient genomes • Apply and develop methods for partitioning heritability and estimating genetic correlations • Develop
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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be responsible for teaching several undergraduate construction courses including, but not limited to: Computer Aided Design (CAD), construction materials and methods, construction site management
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notification. 12. Application deadline: The competition is open from 02/01/2026 to 15/01/2026. 13. Application Submission Method: Applications may be submitted through the IPB application portal (http
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. The methodology is focused on hybrid Physics Informed AI methods, time series, prediction, causality discovery, data analytics, advanced visualization to monitor and forecast natural and human activity in support
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-end of the nuclear fuel cycle for these high Pu containing MOX fuels will be studied. A nitric acid dissolution method for the MOX fuel will be developed. Since MOX fuels with high Pu content
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 25 days ago
site in the PACA region of France. They consist of a mirrored side and a painted side. Rather than resorting to manual computer graphics work, the general aim of the project is to to develop the lightest