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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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in a suitable software environment, with documented experience. Experience in applying or developing machine learning models for atomistic systems (in chemistry or physics) is advantageous
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on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will work with large-scale behavioural data sets using a range of approaches, including heritability
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behavioural phenotypes and social systems develop and evolve. Specifically, the project will focus on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will
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experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods
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, network components etc.) and local development servers. The project’s overall goal is the development of new software technology for the development, synthesis, optimization, deployment and orchestration
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the post-holder is expected to contribute to its upkeep and the updating of software. There will be opportunities to contribute to scientific publications and presentations. The successful candidates
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part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for
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of segregation, culture, and politics, as well as social network analysis and computational text analysis. IAS is also home of the Swedish Excellence Center in Computational Social Science (SweCSS
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experience with interdisciplinary research networks, and a record of successfully attracting external funding for interdisciplinary research projects. To be able to use computationally intensive methods