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Field
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analysis and data processing, preferably ArcGIS or QGIS You have a strong interest in biodiversity, ecosystem services, and the climate–nature-people nexus. You have affinity with interdisciplinary research
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, or data management and analysis is a plus. Soft Skills Excellent communication and interpersonal skills, with a client-oriented mindset. Proven ability to collaborate effectively in interdisciplinary
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Analytical thinking, data analysis, and critical problem-solving skills. Commitment to rigorous scientific standards and accurate record keeping Time management and ability to work independently Excellent
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ethnographic and creative methods, combining scholarly analysis with field-based, artistic, or community-engaged approaches. The position offers space to develop your own trajectory, while contributing to a
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becomes a real challenge to uniquely extract information on their layer properties in order to understand and improve their performance. A way to “break the nanometric barrier” for structure analysis is to
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and molecular biology/biochemistry/assay development Mammalian cell culture Analytical thinking, data analysis, and critical problem-solving skills. Commitment to rigorous scientific standards and
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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
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, sustainability, and public 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
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questions and ideas, data collection, qualitative and/or quantitative analysis of the data, executing the research project, and writing and presenting of academic papers. The aim is to publish your work in
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conduct interdisciplinary empirical research at the intersection of developmental psychology and cognitive neuroscience. You have experience with quantitative data analysis techniques such as Matlab