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different gender. Co-funding Co-funding is mandatory with this scholarship. Consult the call documents for more information on what co-funding is allowed. In general, the following conditions must be
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qualitative data via focus groups to identify the best conditions for a feasible intervention. Subsequently, the controlled trial will test the immediate and longer-term benefits of resonant breathing
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these resources. By using data integration, AI, and international platforms like GBIF and LifeWatch, the project supports taxonomic advancement. This PhD research will develop bioinformatics tools to find type
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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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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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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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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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on real-world medical data, in close collaboration with a team of statisticians and machine learning researchers. Job profile - You have a master's degree and a strong background in statistical data
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responsible for following tasks: • develop a list of soil health assessment indicators, with emphasis on biological indicators • design a detailed sampling & data collection protocol to be used across all
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still uncertain how forest structure is impacted by disturbances (locally) and how we can detect and monitor various levels of disturbance regimes using spaceborne satellite data (globally). This PhD