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This project aims to identify the spatial genetic and adaptive dynamics of tumour microbiome in colorectal cancer. To do so, we will integrate single-cell genomics, transcriptomics and clinical data
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associated with different types of youth delinquency. The project uses data from the SOFIA study, a longitudinal prospective study that has followed about 2,000 children in a medium-sized Swedish municipality
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the rural-urban nutrient cycle - Long-term field site with urban fertilizers and organic amendments, and Svensk Vatten – Studying the effects of different waste water treatment processes on the phosphorus
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completion) in AI, Machine Learning, Data Science, Control or Energy Systems Engineering, or a related field. Strong expertise in AI for real-time systems, predictive analytics, or Digital Twins. Experience
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tools to differences in genotypes and environment to predict disease trajectories. The project is part of a Nordic initiative in large scale healthcare data analysis for development of precision medicine
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relationships across different languages. This will be examined through a conversation-analytic and interactional linguistic approach, based on video recordings of conversations and other social events involving
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focused on food chemistry and the monitorization of oxidative processes and other relevant chemical reactions in food. Supervising and training PhD, master, and bachelor students in analyzing the impact of
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is a remarkably resilient pathogen capable of adopting different physiological states, including a subset known as “Differentially Culturable Mtb” (DCMtb), which have been found in both macrophages and
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. Ability to write publications, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Analytical Chemistry or a
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accounts. For additional information, please review the detailed Summary of Benefits offered by WSU for AP staff and Total Compensation . Required Qualifications: PhD in Plant Biochemistry, Molecular