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measurements. A key element of the project is the development of an interactive supply chain simulation game that serves as an experimental research platform (https://msgames.in/ ). In addition, you will design
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collection (daily diary, experience sampling) and secondary data analysis of existing panel data. Target populations may include low-SES groups, immigrants, or racial and ethnic minorities. What you do We
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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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analysis is crucial to evaluating the cost-effectiveness of psychosocial and tech-based support to improve the lives of people with dementia and their informal caregivers. PhD Candidate in Health-Economic
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support the failing heart—at the exact moment it matters most? This PhD position bridges a state-of-the-art Mechanical Circulatory Support (MCS) experimental lab with real-world clinical analysis in
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staff, and has access to state-of-the-art research facilities to perform human intervention studies, cell culture experiments, and molecular analysis. In this project, you will work closely together
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supervision. Gathering qualitative and quantitative data. Supporting data analysis. Communicating with stakeholders such as PhD candidates and supervisors. Supporting communication with the broader community
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, biomimetic biomaterials, relevant cell types (stem cells, musculoskeletal cells, endothelial cells, or immune cells), molecular and cellular analysis techniques, or bioimaging is considered a strong asset
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interpreting complex datasets; experience with R or Python for (omics) analysis is a plus. Collaborative and organized – You manage complex experimental timelines and thrive in a multidisciplinary consortium