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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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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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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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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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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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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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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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, optimization, analysis and/or control of renewable energy technologies and energy storage technologies in buildings; AI methods applied to building or energy systems; District heating systems. In an overall
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approaches, methods and digital solutions to describe strengths, difficulties, participation and the impact of environmental factors at individual, organisational and societal levels. The work is carried out