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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Autonomous AI-powered red agents for enhanced
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in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
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obtained an MSc or similar in data science, computer science, physics, applied mathematics, oceanography, meteorology, or a similar field. The applicant must satisfy the requirements for admission to the PhD
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the aforementioned areas, related to digitalisation, health-technology, information security, sustainability, environment etc. The academic environment and research groups connected to the programme, and the course
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DTU, Department of Civil and Mechanical Engineering , the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of process induced defects and the resultant fatigue life of metal additive manufactured samples. The project is part of a...
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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve...
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This fully funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA) and RES Group, offers a bursary of £25,000 per annum, covering full tuition fees. The project focuses on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for...
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Sciences (LIFE) conducts research, innovation, and education to enable a biobased society and improve human health. LIFE topics cover both basic and applied aspects of life sciences. AstraZeneca is a global
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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or very good university degree (diploma, master's degree) in transport or related study programs (e.g., civil engineering, industrial engineering, computer science, etc) with a solid foundation in transport