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You will collaborate with doctoral candidates, postdoctoral researchers, analysts, and clinical researchers conducting patient studies. We encourage active participation in the design and execution
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perspectives. Tasks: Co-develop and conduct empirical research to evaluate the decision-support tool (in terms of feasibility, usability, acceptability, and potential value in clinical practice) as described in
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recurrent fractures, deformities of the long bones and spine, short stature, pain and reduced mobility. Current treatments mainly increase bone mass by inhibiting bone resorption. However, these treatments do
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Employment 0.8 FTE Gross monthly salary € 4,925 - € 6,682 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 13 October 2026 Apply now Are you passionate
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patients’ physiological, psychological, and recovery outcomes, while also exploring the impact on nurses and clinical workflows. Candidates with substantial relevant research experience who do not currently
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data, including electrocardiograms, cardiac device recordings, wearable sensor data, clinical trial data, electronic health records and patient-reported outcomes. What you do Research activities will
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on clinically relevant topics? If yes, then Maastricht University has a new challenge for you! Postdoc Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development
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. Recent work from our group identified three molecular subtypes characterized by distinct fusion genes, anatomical locations, clinical behavior and a remarkable female predominance in one subtype (PMID
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of clinically relevant targets for cancer immunotherapy. In this role, you will support the team by driving mass spectrometry-based method development and contributing your expertise to a range of proteogenomics
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groups in AI, 3D modelling and T-cell immunology, leading TCR discovery and TCR-biologics companies, a cancer vaccine research group running clinical trials, and the national super-computing center