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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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large language models (LLMs)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create
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having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! For more information regarding the
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for the benefit of Swedish society and industry. Project description This PhD project is part of the interdisciplinary WASP-DDLS NEST project AID4BC , which has the overarching aim of advancing data-driven
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-year PhD project, you will quantify whether broadleafification actions benefit have an impact on the communities of bats, birds and beetles in a large-scale comparative study. You will work in an
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of Research ExperienceNone Additional Information Work Location(s) Number of offers available1Company/InstituteLinköping UniversityCountrySwedenCityLinköpingPostal Code58183StreetCampus Valla Contact City
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What if you could design systems that not only follow instructions — but understand intent and guarantee correct behavior over time? We are looking for up to two PhD students who want to explore
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Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis