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findings to an international audience. SUPERVISORS Each student is allocated a supervisory group which is made up of a supervisor as well as two co-supervisors. The co-supervisors' fields of research
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to the research question including identification of the knowledge gaps, clearly identify the aims of the research and briefly detail the methodology and resources required. If candidates do not have a
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to the research question including identification of the knowledge gaps, clearly identify the aims of the research and briefly detail the methodology and resources required. If candidates do not have a
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incorporates data-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA
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-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA accelerates
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change, the sustainable use of the world's coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary
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Gevorgyan (ashot.gevorgyan@lnu.se ) Human Resources Consultant: Stina Andersson (stina.andersson@lnu.se ) Linnaeus University has the ambition to utilize the qualities that an even gender distribution and
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industrially relevant research. The Sustainable Manufacturing Systems Centre leads pioneering work in resource-efficient production, digitalisation, and zero-carbon manufacturing. Our Doctoral Network offers a
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., StableDiffusion) and large language models (LLMs) based on the transformer architecture [6] (e.g., ChatGPT). In general, the above generative models need considerable amount of computational resources in terms
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sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods