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will include data acquisition, analysis, and interpretation, as well as collaboration with clinicians for human tissue studies. The candidate holds a Master degree in biomedical sciences, medicine
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, and theoretical analysis using Leslie-Ericksen theory for liquid crystal flow as well as theory for viscoelasticity of polymeric liquids. Both in the practical and simulation/theory work you will be
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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of religion. Methodologically, the project does not presuppose a modern concept of disability or healing and instead works with an actor-centered approach. The analysis is focused on intersections of dis
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relationships. You are motivated to acquire new skills and work in a multidisciplinary team. You have practical experience with experimental work and data analysis. You act with attention to quality, integrity
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analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
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of contaminants is an asset; You have skills in statistical data analysis, and are keen on developing these skills further. Basic knowledge of R is an asset; You have experience in working with oligotrophic
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experimental sites • coordinate and perform soil health analysis across all experimental sites • derive cause-effect relationships between drivers (regenerative practices), mediators (soil organisms) and impacts
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-catalysed coupling reactions for preparing interesting basic molecules for the pharmaceutical industry. The methodology's tolerance to functional groups will allow ‘late stage’ functionalisation to be
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international interdisciplinary research team focused on computer vision and surgical video analysis, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable