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description This project is part of the EU-funded “Print4Life” Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader at Uppsala University. This network has 8 doctoral candidate host
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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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deployment of renewable energy resources and flexibility assets. Local energy communities and peer-to-peer trading platforms promise to leverage this transformation to unlock economic and societal value by
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and in different roles and type of organizations. You should also have knowledge of, and interest in, the challenges facing the public sector. You should also have good communication skills in Swedish
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community—contributing to ongoing projects and courses, while also having the opportunity to shape and develop new initiatives. You’ll be supported by an inclusive, collaborative team environment that values
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mechanics. FLOW is a strong community of researchers engaged in fundamental and applied research in fluid mechanics within the department. We are currently seeking a PhD student in fluid mechanics to join
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chains. Current research areas include circular logistics networks for sustainable consumption and retail distribution, supply chain preparedness and risk management, digitalization, process and business
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sensing data using deep convolutional neural network (CNN) linking estimates of grazing pressure to purposefully collected data on plant indicator species and flower abundance, species richness and
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and patient stratification. The laboratory is supported by prestigious national and international grants, including an ERC Synergy Grant, and is embedded in an active network of collaborations with
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have access to well-equipped laboratories, experienced colleagues, and strong research networks. This role offers scientific challenges and creative freedom. It is well suited for a postdoctoral who