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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
insight into the characteristics and challenges of the engineer-to-order shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative
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addresses one of the most pressing challenges facing contemporary port ecosystems: how ports can develop new strategic roles in support of the green transition. The project will explore how ports move beyond
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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integrated within the Norwegian Center on AI for Decision (aiD), benefiting from broad and divers expertise, and strong industrial connections. The project will have theoretical and algorithmic developments
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particular focus on the development of new catalysts and electrocatalysts for sulfur redox reactions. We encourage applicants with a range of skill sets to apply. The candidate will work within the Nottingham
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Computer Science. The research group studies electronic and electromechanical components and develops new concepts for nanoscale materials, devices and systems using nano- and microfabrication techniques
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. This PhD will develop agentic explainable AI methods for nucleotide foundation models. Building on emerging preliminary work in the AI for Bioscience group, the project will create computational methods
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, Katholieke Universiteit Leuven, Department of Human Genetics, Belgium (Academic); Dr. Domenico Bellomo, SkylineDx B.V., Netherlands (Industry) Project description: DC2 will develop a 3D spatial FUN-G&T-seq and
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Contribute to quantum technologies by developing integrated cryogenic temperature sensors. Join our vibrant team in demonstrating cryo-CMOS integrated circuits enabling the next quantum technologies
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the Department of Materials Science and Engineering within the Faculty of Engineering, Monash University. We are seeking highly motivated PhD candidates to undertake research on the design and development of safe