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of Alzheimer’s disease in the general population, leveraging a regional primary care infrastructure. Rich longitudinal cognition and biomarker data are readily available, complemented by registry-based
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internal structure and evolution of AI-enabled components themselves, including the design of retrainable pipelines, model-wrapping services, LLM prompting logic, data pre/post-processing components, and
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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cereals. The field experiments will generate multivariate data and you are expected to conduct statistical analyses and interpretations of the data based on scientific literature and theoretical
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environmental DNA (eDNA) as a tool for early detection of forest pathogens. In this project, you will have the opportunity to combine molecular biological methods with field studies and data analysis to
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for data-driven models and high-dimensional data. The position is full-time for two years, starting on 12th January 2026, or as agreed upon. The Department of Computing Science at Umeå University is an
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transcripts. If the applicant is a foreign citizen, SLU requires a certified copy of the passport page disclosing personal data and photograph. Union representatives: https://internt.slu.se/en/my
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environment spanning soft matter physics, structural biology, nanomedicine, and advanced data analysis. The fellowship is funded through the prestigious AMBER Marie Skłodowska-Curie COFUND programme
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genomics are required. The candidate should have proficiency in R, python, or comparable programming languages. Experience of working with long-read sequencing data is a plus. The candidate should
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, focusing on boreal and hemi-boreal forest ecosystems. The project compiles and evaluates peer-reviewed literature, management guidelines, policy documents and/or available data to produce expected