7 algorithm-"Multiple"-"Prof"-"Simons-Foundation"-"St" positions at Umeå University in Sweden
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                to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both 
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                analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics 
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                questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing 
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                to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant 
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                into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic 
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                one of the main bioinformatic sites at Umeå university with over 20 bioinformaticians supporting multiple research fields, hosted at the Department of Plant Physiology. The workplace is located right 
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                mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering