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community and provide guidance in providing useful inputs for the model. Integrate the data provided by multidisciplinary teams and establish the number / type of lab tests needed for model validation
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inconsistent. This project aims to provide a rigorous and high-powered test of the neural network underlying sentence-level semantic integration. The project combines three complementary approaches: a
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their social safety at the workplace. You will be trained in a mixed-method approach (Group Concept Mapping) that you will use to examine PhD candidates in a systematic way how they best see their social safety
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of large lifespan cohorts. Independence is key, the post holder is expected to take the lead in developing analytic questions, testing and comparing developmental models, and prepare reports for journal
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describe ecosystem structure and functioning as a function of size and other relevant properties. You will test the theoretical framework developed on empirical data currently collected independently in
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operationalized seasonal forecasts and test their skill as early warning systems, (iii) developing novel impact-focused attribution frameworks that integrates climatic and non-climatic drivers across sectors
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functioning, enable trust as a shared organizing principle amongst the ecosystem stakeholders. We are seeking a highly motivated Postdoctoral Researcher to join our interdisciplinary research team and examine
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are the agriculture sector, construction sector, asphalt paving sector, aviation sector, and household sector. In particular, you will try to understand what the theoretical and actual policy bottlenecks are at local
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mechanisms and causal pathways to strengthen attribution analyses and model development, build operationalized seasonal forecasts and test their skill as early warning systems, (iii) developing novel impact
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will purchase and test (first inshore and later offshore at the North Sea) instruments for these three subprojects. These techniques seem to be an excellent fit to the questions asked in NO-REGRETS so we