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, and drug discovery? We are excited to offer a PhD position tailored for a motivated candidate eager to push the boundaries of structure-based drug design using cutting-edge machine learning techniques
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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electrolysis for sustainable iron production. Iron ore interactions with molten salts for electrolytic iron-making Supervisory team: Dr Jessica Allen (50%), Dr SImin Moradmand (25%), Associate Professor Tom
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Vacancies PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test Key takeaways Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
tools for solving these problems. The goal of this PhD is to understand how these results could be integrated or inspire the designing process of the models for the deployment and the execution of Cloud
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access to personal development opportunities (e.g. research communication and entrepreneurship training) and the ability to interact with two spin-out companies Lineat and iCOMAT. The PhD project will
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lead to better and fairer outcomes—challenges such as cognitive overload, uncalibrated (dis)trust in AI, and unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project
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), accessibility and inclusive design, feminism and intersectionality, trans and gender diversity studies, and misinformation, will be considered. The ideal candidate will have or soon be awarded a PhD from any
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the topic “PhD position in interactive AI". If you are already working at Aalto University, please apply via our internal Workday system (Career). To apply, please share the following application materials in