527 web-programmer-developer-"https:" "https:" "https:" "https:" "University of Southampton" Postdoctoral positions in United Kingdom
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to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. This is a fixed term position for one year. About you The successful applicant will hold
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high-demand protective equipment application. You will be responsible for manufacturing and testing of materials, and development of a model to inform material design. You should possess a PhD in a
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develop throughput-optimal entanglement distribution algorithms (both centralized and decentralized algorithms) for quantum networks with resource constraints. The project is funded by the EPSRC AI hub
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. The process will be validated in a high-demand protective equipment application. You will be responsible for manufacturing and testing of materials, and development of a model to inform material design. You
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bacteriophage. Main activities will include: Development of a straightforward and inexpensive Mycobacterium tuberculosis (Mtb) lysis solution, comprising pore-forming short cationic peptides and a
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(Headington). The post is funded by Medical Research Council and is fixed-term for 30 months. This project seeks to harness recent progress to develop innovative human models that better replicate complex pain
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Victoria Nash and become a member of Nuffield Foundation Emerging Researchers Network. The Emerging Researchers Network supports early career researchers working on Nuffield-funded projects to develop
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technical art history to develop mathematically grounded and explainable AI methods for the integration and interpretation of multi-modal, heterogeneous, incomplete and uncertain data arising in
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manufacturer. Based on our publication (ACS Appl Nano Matter 2022, 10.1021/acsanm.2c03406) and our ongoing collaborative work, we have developed a new chemical assay coupled with a machine learning algorithm to
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Regularization. We aim to develop mathematical understanding of implicit regularisation properties in deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical