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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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(soil properties and processes) using appropriate data analysis techniques • develop practical but validated indicators of soil health that can be used directly by farmers and other land managers The PhD
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spatio-temporal analysis based on big geospatial data. The PhD student will work closely with Prof. Haosheng Huang (https://users.ugent.be/~haohuang/ ) and Prof. Christophe Vandeviver (https
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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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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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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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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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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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: sufficiency measures and sustainable consumption corridors, post-growth policies, Beyond GDP indicators and welfare analysis, (ecological) public finance and policy evaluation. The aim is to apply for a PhD
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disease is highly variable, even within the same family, making it difficult to predict the course of disease, provide accurate genetic counselling, or design effective therapies. This PhD project aims