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Field
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18 Sep 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Medical sciences » Medicine Researcher Profile First Stage Researcher (R1) Application Deadline 15 Oct 2026
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide
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measurable. This can be approached through empirical analysis of large-scale simulations, through new (semi-analytical) models that predict the impact of introducing these vehicle types, or a combination of
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complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics to medicine: our education and
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training and collaboration across historical, social science, legal, and data science methods, including Earth Observation analysis and the large-scale analysis of survivor narratives. Applicants proposing
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Computational pathology and digital pathology using whole slide imaging (WSI) Spatial biology, spatial transcriptomics, and multi-omics data integration Large language models (LLMs) and foundation models
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,orarelatedfield · Strongbackgroundinquantitativemethods,statistics,anddatascience,with demonstrated experience in empirical research and data analysis of large datasets
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and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is planned
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Knowledge of machine learning, Large Language Models (LLMs), Vision Language Models (VLMs), or generative AI Experience with Retrieval-Augmented Generation (RAG), AI agents, model-driven engineering, DevOps
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office and 30 days of paid holidays • An amazing team and the possibility of getting involved in something big • Publications in top-tier journals and conferences • Working on and with an actual rocket