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their physiology, productivity, and management. To design robust, sustainable perennial cropping systems, research is needed on the agroecological mechanisms driving yield and resilience, as well as close
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intentionally broad and open. As a PhD student, you are expected to formulate and further develop your own research plan within the overarching theme of measuring and inventorying forest biodiversity. Possible
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enhance the translation of research into real-world applications. The 17 Doctoral candidates recruited for this international project will receive training at the forefront of research and innovation in
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the area of Robotics and Artificial Intelligence. More specifically, the position will involve dense research activities in the area of designing, experimenting and theoretical development, with
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. The project aims to refine and validate an innovative tool designed to capture patients’ treatment preferences, particularly the trade-offs between survival and health-related quality of life (HRQoL). In a
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fundamental design principles for next-generation sustainable catalytic systems. The outcomes will contribute to developing green synthetic methodologies that replace rare-metal catalysts, enhance reaction
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observations of ice initiation from solid aerosol material, informing the design of microphysical schemes of models of clouds and climate at Lund. A new climate model is being developed to represent cloud
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research group focusing on the societal and governance implications of Artificial Intelligence. The lab has strong expertise in AI, simulations, and responsible technology design. The Department
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socioeconomic differences in health. Informing Policy Design: Provide evidence-based recommendations on how preventive interventions can be targeted to reduce health inequalities effectively and cost-efficiently
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associations. The research will focus on beneficiation process design, including gravity separation, flotation using biodegradable reagents and nano-bubbles, as well as selective leaching to remove impurities