18 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" positions at Maastricht University (UM)
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more than 400,000 individuals and 200,000 patient-years of linked clinical outcome data. For this project, the Department of Physiology at the Cardiovascular Research Institute Maastricht (CARIM) has a
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technology developers to integrate and analyse one of the world's largest collections of AF burden data, comprising more than 400,000 individuals and 200,000 patient-years of linked clinical outcome data
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technologies, enabling data-driven—and ultimately autonomous—crop management in greenhouse and vertical farming systems. Postdoctoral Researcher in Autonomous Controlled Environmental Agriculture Our goal
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, or departmental contributions; If applicable, mention experience fostering diversity, equity, and inclusion. Contact Information and referees Provide your full contact details and include links to: Your ORCID
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in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI
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prediction of DNA replication defects and mitotic errors in human IVF embryos from live cell imaging data. In addition, you will contribute to teaching activities (maximum 0.1 FTE) and supervise Bachelor and
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molecular information with multi-omics data, digital pathology and artificial intelligence, your work will generate new insights into pharmacodynamics, efficacy biomarkers and toxicity mechanisms that cannot
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engineers, and data scientists within a state-of-the-art MCS lab and high-volume tertiary referral center. Cardiogenic shock and advanced heart failure remain among the most urgent challenges in
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development. Your findings will be integrated with clinical and in vivo data generated by consortium partners, providing a unique opportunity to contribute to translational research that bridges fundamental
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strands of data collection and analysis, including semi-structured interviews with undergraduate students and analysing coursework artefacts; analysing how students interpret, evaluate, and represent