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and apply AI and machine-learning methods to infer interaction networks from acoustic co-occurrence and activity patterns, and analyse their structural properties to link topology to response diversity
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Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would you like to work together with
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data analytics to health data, mainly from electronic health records. The project focuses on developing and evaluating machine learning models for predicting adverse drug events using both structured
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materials, XRD with Rietveld analysis, SEM, TG, DSC, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is
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, writing, speaking). • Show ability to work independently as well as in a team. • Good knowledge in AI, machine learning, data science and mathematics. • Good knowledge in one or more of the following
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involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis, including
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emergence of norms in civil society, among other contexts. Research is conducted in fields such as gender and discrimination, AI and machine learning, children's rights, welfare, legal cultures, corruption
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workday might involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis
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experience in e-health, digital health or a related field experience of, or a documented interest in, machine learning, AI methods or large language models (LLMs) in clinical or health-related contexts a