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project, we will measure the human mesoscale cerebellar morphology in postmortem brain tissue to provide a ground truth for the independent in-vivo experiments. This project will give you the chance to work
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metaflammation and influence the risk of COPD. You will also investigate the potential attenuating effects of targeted nutritional or pharmacological interventions. Using innovative data analysis techniques, you
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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical
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-site, international research project. Your work will include qualitative and quantitative research, development and validation of quality-of-life measures, analysis of risk and resilience factors, and
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transition analysis, socio-economic assessment, and decision-support systems. The project contributes directly to the EU Mission on Adaptation to Climate Change by helping farmers, businesses, and policymakers
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performance simulation, lifecycle assessment, or climate resilience. Knowledge of uncertainty quantification and risk modelling is desirable. You have experience with programming and data analysis (e.g., Python
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to support pandemic risk assessment and antiviral strategies. Where to apply Website https://www.academictransfer.com/en/jobs/363519/phd-position-in-virus-glycan-in… Requirements Specific Requirements We
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research addresses the following objectives: Behavioural analysis: Identify and analyse behavioural drivers influencing stakeholder decisions in pest risk management. Economic evaluation: Assess economic
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research and data analysis Good communication skills in English, both written and oral A critical and independent working attitude TU Delft (Delft University of Technology) Working at TU Delft means
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climate change; An integrated, multi-scalar analysis of pediatric respiratory health risks, heat & pollution, linking bodily experiences of exposure to heat with political-economic systems and urban