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Overview Dr. Hana Aliee wishes to recruit a student to work on the project entitled: Generative Modelling for Foundational Discovery in Biomedicine. For further information about the research group
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turbulent flows, as their mean strain is varied from high to low levels, and will document the failure of classical theories to describe intermediate strain regimes. The produced data-set will be utilized
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families of quantum codes such as permutation invariant codes and some bosonic codes. This PhD will explore the theoretical application and optimisation of these quantum codes for quantum technologies
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follow the link at: https://www.cst.cam.ac.uk to find out more about our department. Applications are invited for a postdoctoral researcher to join Professor Tom Gurs research group in the Department
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Overview Kickstart your academic career with full financial support for your Economics PhD and gain expert skills in research and teaching with our Graduate Teaching Fellowships (GTF). About this
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
present at top AI/ML venues and validate ideas on real platforms. Mentorship focused on visionary brainstorming, in-depth technical discussions, and collaborative work culture on both theory and systems
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? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227644 Is the Job related to staff position within a Research Infrastructure? No Offer Description ABOUT THE ROLE EPHEMERAL aims to train a new
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-resolution metagenomics and work with population genetics theory. This will cumulate in a new understanding of host-microbial interactions through acclimatization and adaptation, that will be validated in
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second-class undergraduate honours degree in Engineering, Physics or Materials Science Excellent English written and spoken communication skills Being passionate about science, curious, and self-driven
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also have to develop the theoretical methods to describe the up-conversion mechanism, and design new types of cavities that enhance its efficiency. The PhD candidate should have completed (or about to