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approaches for the analysis and design of in vivo tumour-growth inhibition studies of preclinical compounds as a basis for human dose predictions. The project will be conducted in close collaboration with
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, including the Polydiv2 and PI3 networks. About the role We are looking for a highly motivated PhD student to study the impact of genome duplication on volvocine algae, with a particular focus on
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 22 days ago
fluid and cognitive measures, for early detection, disease staging and prediction of progression. The project is embedded in an international supervisory network spanning Gothenburg, Stockholm, Barcelona
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%, for a limited period of 4 years) in the area of Public Participation in Environmental Impact Assessments – Quantitative and Qualitative Analysis within the ERC Advanced Grant project Global Assessment
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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, network-based analysis, unsupervised learning and interpretable AI. The project leaves room for methodological exploration while remaining closely connected to biological interpretation, experimental
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health. Successful candidates may have experience in electron or X-ray microscopy, image analysis, AI and machine learning, quantitative data science or computational modelling. They will be able to work
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Fiji, where a local co-supervision and collaboration framework will be established with Fijian scientific and institutional partners. The PhD will also benefit from the broader European SEASTRONG network
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passage through the riparian zone and along the stream channel network based on hydrometric and tracer-hydrological measurements. Research will benefit from the previously installed extensive monitoring