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the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype
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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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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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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
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analysis or machine learning (ideally, we will recruit one candidate with specific specialization in machine learning and one student with specific specialization in statistics and data analysis; familiarity
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data analysis and biomarker discovery • Collaborate with a multidisciplinary team of researchers and clinicians • Engage with the International PSC Study Group, a global research consortium • Work in
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conduct stability, reactivity and possible semi-synthesis study of selected bioactive SLs. • You perform a mix of chemical laboratory work and data analysis of natural products. • You contribute to a
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the field of Geospatial AI (GeoAI) and Geography of Crime. The joint research team hosts more than 30 researchers, focusing on GeoAI, spatio-temporal data analysis, location based services (LBS), urban
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, preparing data collection (e.g., setting up questionnaire), collecting both qualitative and quantitative data, coordinating with the app developer. Data analysis, including both qualitative and especially
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to better understand the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying