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, where to store it and how to optimally prepare it for use in AI-driven systems and solutions We seek candidates with the following qualifications: To qualify as a PhD student, you must have a master's
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Administration, Entrepreneurship section, at Umeå School of Business, Economics and Statistics with Prof. Norbert Steigenberger as your main supervisor. With this PhD project, funded by Lundbergs Foundation, we
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Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications
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We are looking for a motivated PhD student to join us in a unique, collaborative project between our Affinity Ligand Design team at Cytiva and the Elofsson group at Stockholm University, where we
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that enhance the quality and efficiency of forest management planning. The PhD student will combine remote sensing with machine learning to detect cultural remains, predict terrain accessibility, identify
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disaster response.Through cooperation and coordination, autonomous agents can accomplish tasks that are too complex, unsafe, or large-scale for a single agent to handle alone. This research area lies in
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(semi-supervised learning), and eXplainable AI. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as well as communicate your results
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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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, ATACseq data, and will analyze and synthesize and write up the work for publication and work closely with the HybridExpress team consisting of a lab manager, a PhD-student and a post doc. There will be
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. The research program “Save the Ash”, managed by Skogforsk and SLU, aims to develop a more resistant population of European ash for the future. The PhD project will investigate the recent rapid decline in