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of microbiome and clinical data; experimental studies of microbial adhesion and biofilm formation; analysis of carbohydrates and proteins involved in host–microbe interactions; and protein profiling
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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, geoinformatics, oceanography, or a related field as well as good knowledge in written and spoken English is a requirement. Merits are: Experience with environmental data analysis and quantitative methods, with
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intelligent built environments, and analysis of behavioral and physiological data. The work also includes the development of personas, the use of LLM‑enhanced decision narratives, and agent-based social
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) Experience of working with plant material Experience with bioinformatics tools, scripting or data analysis Experience of method development and optimisation About the employment The position is intended
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geological materials and organics; knowledge of spectroscopy and/or scanning and/or transmission electron microscopy techniques. Merits are: experience in spectral data analysis using Matlab, R or Python; a
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this project, the candidate will analyze longitudinal fecal shotgun data from 500 children followed from birth to three years of age to investigate how environmental, clinical and lifestyle exposures shape
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approach, allowing for a range of suitable methods for data collection and analysis. The doctoral project is initially funded by the Jan Wallander and Tom Hedelius Foundation and the Tore Browaldh Foundation