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multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis, and experiments. You will work closely with the PI and members of the Strategic Communication group. You
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flight dynamics and mission-based performance analysis. o Programming skills in Python, C++, or equivalent for simulation preprocessing/postprocessing. o (Desirable) Exposure to reduced-order
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research methods and data analysis. Ability to work in an interdisciplinary, international team. Excellent command of written and spoken English (Dutch is an advantage). Strong academic writing skills and
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 5 days ago
recruitment and throughout their career. In order to preserve well-being at work, INSERM pursues an active policy regarding working conditions, based in particular on a fair balance between personal and
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environmental stressors, in particular heat, and patterns of violence in the UK. This project will largely use quantitative methods to explore the relationship between climate change and violence. A key component
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focus on the mobility of microplastics in soils and their potential uptake by agriculturally important plants. The extensive use of plastics and inadequate management of biogenic waste have resulted in
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The Neurophysiology of Human Movement Group at the University of Adelaide is seeking a full-time PhD student for a fully funded PhD Scholarship examining “Brain oscillations and motor function in
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function, with a particular emphasis on DNA/RNA-LNPs for next-generation gene therapeutics. Your tasks This PhD position is part of a larger EU-funded project focused on the metrological characterization
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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combine engineering design principles with stake-holder engagement tools to support decision-making under uncertainty. Using methods like agent-based modelling, quantitative resilience and risk analysis