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Field
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and the causal agents remain unresolved. The project is based at the Southern Swedish Forest Research Centre in Alnarp and is part of Trees For Me, a Centre of Excellence focused on fast-growing
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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of up to 500 ppm of NO, CO, and H2S could occur in the gas mixture and should be detected. Some applications may require the use of gaseous anaesthetic agents such as isoflurane and desflurane. This also
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lessons from experiments and experience to shape AI-native software engineering pilot and transition improvements with organizations and measure their success create novel agents and agentic workflows
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lessons from experiments and experience to shape AI-native software engineering pilot and transition improvements with organizations and measure their success create novel agents and agentic workflows
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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy
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to teaching, supervision and administrative tasks at the Department. The PhD project is situated within the research area of logics for multi-agent systems, and their applications to formal verification
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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interventions efficiently and maximise benefits. Urban data analytics, AI/Machine Learning, GIS, Spatial Planning 2. Optimisation of Hybrid Infrastructure Systems and Fit-for-Purpose Technologies How can green
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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across