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Field
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. The broad aim of the PhD research is to train the student with skills to investigate self-assemblies of lipids and biocides (cationic surfactants) and their cross-assembly processes, and identify how
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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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This fully-funded PhD offers a unique opportunity to drive that change. We are seeking a talented and motivated student to join a multidisciplinary team working at the intersection of biomedical
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, education, and sustainable development. How to apply The application is a two-step process. Candidates must: Submit an application for the MPhil/PhD in Global Sustainable Development. Separately, email a two
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experimental chemistry. Additional training in a wide range of soft and hard skills is available at the University. What you will do: This PhD project aims to bring together multi-scale modelling and data-driven
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, will be trained on simulation data to create dynamic, adaptive control systems that optimise operation in real-time across multiple variables. This research will deliver a validated roadmap to 60
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CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic
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/about/our-faculty-and-staff www.hw.ac.uk/ebs/about/departments For further information about the scheme and the application process, please visit: www.sgsss.ac.uk/studentships/open-competition Informal
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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Neural mechanisms underlying accent processing in naturalistic conversations: Insights from brain oscillations and functional neuroimaging Prof. Guillaume Thierry Applications are invited for a