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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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What if you could design systems that not only follow instructions — but understand intent and guarantee correct behavior over time? We are looking for up to two PhD students who want to explore
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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collection of evidence of impact through communication activities, feature-limited software releases and efforts to inform policy. Candidates for this PhD should have a strong foundation in computer
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highly motivated researcher with relevant expertise in the built environment, energy performance, and retrofit design. You should possess a postgraduate degree (MSc or PhD) in Architecture, Construction
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, autonomous systems and software for the benefit of Swedish society and industry Who we are looking for: To qualify as a PhD student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s
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knowledge of software development and computer science, as well as good skills in oral and written communication in English. Additional knowledge in mathematics, ICT/Cloud architectures, and the Swedish
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knowledge of software development and computer science, as well as good skills in oral and written communication in English. Additional knowledge in mathematics, ICT/Cloud architectures, and the Swedish
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indicative of plant health and stress. Through this project, the student will gain practical experience in utilizing specialized technical software and methodologies to investigate root architecture. They will