28 machine-learning "https:" "https:" "UCL" positions at Maastricht University (UM) in Netherlands
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to apply Website https://www.academictransfer.com/en/jobs/360029/assistant-professor-in-computer… Requirements Additional Information Website for additional job details https://www.academictransfer.com
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
13 Mar 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Educational sciences » Education Educational sciences » Learning studies Researcher Profile First Stage
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partners Education (20%) Teach in bachelor’s and master’s programmes (Biomedical Sciences, Health Sciences, Systems Biology) Supervise BSc, MSc and PhD students Contribute to curriculum development in
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knowledge of and/or experience with validation of prediction models (regression or supervised machine learning), health technology assessment, decision curve analysis, and/or value-of-information analysis
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
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10 Apr 2026 Job Information Organisation/Company Maastricht University (UM) Research Field Computer science » Computer systems Computer science » Cybernetics Researcher Profile Leading Researcher
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participants have a high-quality learning experience. You work closely with academic staff, colleagues across the organisation, and external partners. You support the preparation, delivery, and evaluation
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) At FPN, we share a curiosity about the human brain and behaviour. Together with our students, we explore how our brains function and learn why we do what we do. We connect perspectives and contribute
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within a clinical research setting. Pro-active and quality-driven – You take initiative, are eager to learn and apply new laboratory techniques, and ensure high-quality and reliable data through careful
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yourself. Independent researcher: You are interested in mixed-methods research and are willing to learn a new research methods and take responsibility in its execution. Curious and open-minded: You have