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in large language models for healthcare research, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable
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-language-action models (VLA), specifically the handling of uncertainty in VLAs. VLAs have the potential to simplify system design in robotics and autonomous driving, both through verbal user interfaces, and
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developing a data-driven framework linking DNA, 3D body shape, and motion in horses. The PhD student will work on three interconnected research directions: Multimodal modelling integrating language, visual and
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framework linking DNA, 3D body shape, and motion in horses. The PhD student will work on three interconnected research directions: Multimodal modelling integrating language, visual and quantitative shape
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Fluency in the Swedish language. Although the working language of the research project is English, the student will need to be
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programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial genomics, human gut microbiota research (shotgun metagenomics), Metagenome
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, but rather identify and tackle suitable subproblems. Experience of a statically typed programming language is however a must. We encourage independent thinking, from problem definition to solution, and
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(see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial
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and laboratory free text into structured terminology. The project combines classical text algorithms, medical ontologies, and domain-specific language models, among many other methods and models. You
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ontologies, and domain-specific language models, among many other methods and models. You will engage with large-scale longitudinal health data, develop and validate computational models, and contribute