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phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the Plant
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strong affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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September 2026 Apply now How much does epigenetic variation contribute to rapid adaptation? This PhD at Utrecht University uses CRISPR/Cas9 and SunTag-based epigenomic editing in apomictic dandelions to test
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apparently successful classrooms. You will therefore develop and apply multilevel models that treat group-level disparities in inclusion as meaningful characteristics of the educational environment
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., Hidden Markov Models) Experience with statistical software (for example R) Affinity with clinical populations Furthermore your suitability is ideally exemplified by: An ambition for high quality research
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); using GenAI, for instance Large Language Models (LLMs) for the extraction and analysis of data as part of health research. Our offer a position for 18 months, with an extension to a total of four years
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17 Jul 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Modelling tools Computer science » Programming Researcher Profile First Stage Researcher (R1
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agricultural production and biodiversity conservation can be balanced in Brazil’s MATOPIBA region under future climate and socio-economic conditions. It has the aim to support evidence-based decisions to form
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has the aim to support evidence-based decisions to form sustainable, just, climate-resilient land use strategies that protect biodiversity, food security, and local livelihoods. The project is fully
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experiments that will reveal the physical mechanisms of transport and burial of microplastics and POC in turbidity currents down submarine canyons; incorporate these mechanisms into an existing computer model