18 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Maastricht University (UM) in Netherlands
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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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-position-data-science-a… Requirements Additional Information Website for additional job details https://www.academictransfer.com/363375/ Work Location(s) Number of offers available1Company
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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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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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, examining emerging narrative forms such as immersive media, data visualization, games, social media, and other digital platforms. We are interested in research that addresses critical questions
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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