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seeking a highly motivated Postdoctoral Researcher to join the Machine Learning cluster. The position is part of a research project investigating how visual foundation models can efficiently acquire new
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40 scientists, postdoctoral researchers, and PhD students working on the interpretation of satellite observations, atmospheric modelling, data science, and the development of future Earth observation
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! You just finished your PhD trajectory and looking for the next step in
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depth. You will address the following questions: How can monitoring data from the HADES underground research laboratory be used to build and validate a high-fidelity reference model of tunnel-clay
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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on the HASRL framework and the empirical taxonomy developed by the PhD candidate. Model training and fine-tuning. Fine-tune large language models on annotated educational datasets collected during the project
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Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically
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2 Aug 2026 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Application
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fit to this project; An academic transcript of BSc, MSc and PhD education, including grades; Full Curriculum Vitae, contact information for at least two academic references, and if applicable, a list of
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. Moreover, you will work closely with the other two postdoctoral researchers hired in the project to work on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in