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experience of working with healthcare professionals and patients good knowledge of statistical methods including non-parametric methods knowledge of user experience (UX) good communicative ability in Swedish
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characterization methods (potentially including electrochemistry, multiple microscopy modalities, quartz microbalance, impedance spectroscopy) as well as surface modification and characterization and protein
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and examine students at every level of education an ability to vary teaching methods and examination formats in relation to anticipated study results and the nature of the subject experience of
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and RAG modules challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and
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on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and
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-centred tools for upskilling and augmentation of future workforces. You will join an excellent, diverse, and international research team. We develop methods and human augmentation, including upskilling
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methods relevant to human ecology would be an advantage experience of teaching in the Swedish language Application The application is to be submitted electronically to the Lund University e-recruitment
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the Data-Driven Life Sciences initiative – one of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological