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the development team of TreePPL (www.treeppl.org ), a universal probabilistic programming language and new software for phylogenetics. The successful candidate will be responsible for the user-interface aspects
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with a human-centric, sustainability-driven approach. The Postdoctoral researcher will work on using AI-powered methods, testing, and simulation technologies for the verification and validation
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team of TreePPL (www.treeppl.org ), a universal probabilistic programming language and new software for phylogenetics. The successful candidate will be responsible for the user-interface aspects
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useful in the past to predict actions that might be useful in the present, try them out and update its knowledge base (i.e. update learning). This postdoctoral position is funded by Wallenberg AI
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processing. This will involve adapting existing simulation software to test and develop new algorithms and to investigate how to incorporate multi-messenger data into the LISA processing. Experience and a
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will work on developing global fit algorithms for use in the LISA data processing. This will involve adapting existing simulation software to test and develop new algorithms and to investigate how