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understudied. Current methods used to quantify climate vulnerability are also often not directly comparable between embryos and later life stages, which has further limited our ability to identify critical
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are united in our efforts to understand, explain and improve our world and the human condition. Geographic Information Science is the interdisciplinary study of theories, methods, and technologies
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machine-learning methods using experimental data provided by collaborating experimentalists. A central part of the work will be to identify and define the most relevant parameters governing material growth
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chemistry etc.) Practical experience using standard characterisation methods for evaluation of morphology and materials quality of nanowires. (XRD, SEM, AFM, µ-PL, CL, EBIC etc) You have proven collaborative
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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research (qualitative, quantitative, or mixed methods) on how Swedish public authorities engage with citizens in the governance of welfare automation. Analyze how citizen participation initiatives address
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education across the entire product development lifecycle, from early concepts to industrialization. Together with industry, we develop methods and tools that enable robust, sustainable products while
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of yours on air-sensitive molecular salts, or on comparably demanding air-sensitive chemistry: the system, scientific context and method, one thing that went wrong, and what you did about it. Other
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single-cell methods in technically challenging plant systems represents a central challenge in modern plant genomics. While single-cell and single-nucleus sequencing approaches have transformed research in
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mechanical modelling, such as finite element analysis (FEA). experience of working with healthcare professionals and patients. strong knowledge of statistical methods, including non-parametric methods