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scans and use advanced data-driven methods, including artificial intelligence (AI) and machine learning to improve outcome prediction and patient stratification. deepen our understanding of the etiology
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field concerning health (e.g., health science, health psychology) or data analysis (e.g., data science, statistics) Affinity with data science (e.g., complex statistics, machine learning or computational
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light on the human brain’s unique vulnerability to vascular disorders. What you do Develop scalable, robust, and reproducible data-analysis pipelines (statistics, mathematical modeling, and ML
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comprehensive analysis of international stakeholders in HIV cure efforts, their interests, and their relations. Conducting qualitative research with stakeholders via onsite and online interviews and focus group
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in environmental analysis, reducing exposure and aiding site assessments. The Sensor Engineering group at Maastricht University's Faculty of Science and Engineering focuses on innovative sensor
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subjects or patients in research or clinical care. Excellent communication and organisational skills. Basic statistical analysis skills and proficiency in relevant software. Proficiency in written and spoken
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this position, the chosen candidate will conduct research on how machine learning techniques or XAI can be leveraged by heuristic algorithms, or conversely, how heuristics can be enhanced by incorporating machine
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response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis Writing of scientific papers; Presenting your findings; Teaching at Bachelor’s
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, clinical data analysis, evaluating advanced filtration technologies, and behavioural and implementation studies on changing clinical practice to reduce the environmental impact of pharmaceuticals. Your
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technology, computer-aided design, microfabrication and ‑fluidics, culture of human cells, analytical cell and molecular biology techniques, and bioimaging methods. Analytical and proactive – You combine sharp