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, or a related discipline. You have experience with both quantitative survey research (design, implementation, and analysis) and qualitative, participatory methods (e.g. walk-along interviews, co-creation
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of the estimand framework and target trial emulation can improve the design, analysis, and interpretability of observational studies for clinical and regulatory decision-making. Your job In this PhD project, you
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laboratory experience, including biomolecular and biochemical analysis, cell/tissue culture skills. You have an excellent command of the English language, both spoken and written. Our offer A position for one
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, environmental sciences, or a related field; Have experience with transdisciplinary research and stakeholder collaboration; Have strong analytical skills, both quantitative (economic/financial analysis) and
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offers a stimulating environment with fostering collaborations with distinguished researchers, postdocs, and PhD candidates specialising in operando spectroscopy techniques for catalyst analysis. Your main
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, data analysis and advanced statistics. This consultancy often takes the form of collaboration in research projects and publications. Finally, you will actively contribute to teaching and examining
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analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own research Contribute to a collaborative, enthusiastic, and respectful research environment in
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quantitative methods for the animal health domain. You make your insights on novel developments accessible for staff and students through consultancy on research methodology, data analysis and advanced
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using state-of-the-art methods Develop strong skills in data analysis and critical thinking Grow into an independent scientist while expanding your knowledge through your own research Contribute to a
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health. Most current Geographic Question Answering (GeoQA) tools only return short factual answers, but many real-world questions—like this example—require deeper spatial analysis. In such cases, maps must