152 algorithm-development "https:" "Simons Foundation" positions at Imperial College London
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The Data Engineer/Programmer is a truly vital role in the NIHR Imperial Genomics BRC Facility. The post holder will allow us to drive our cutting egde facility faster, more efficiently, and to
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Imperial’s Natural Sciences and Trusts, Foundations & Corporates fundraising teams are seeking a motivated and highly organised Development Assistant to play a central role in supporting our
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an exceptional fundraising leader to drive our philanthropic engagement across Asia. As Head of Global Development, Asia, you will play a transformative role in securing the philanthropic investments that drive
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are seeking an experienced Senior Teaching Fellow to provide strategic and operational support in development and evaluation of the needs of trust-based educators and ensuring delivery of superior undergraduate
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disciplines of composite mechanics and electrochemistry, presenting compelling technical challenges and offering exciting opportunities to develop and innovate with new materials. These composites will provide
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to understand and develop a practical, method‑by‑method guideline that support statisticians in the design and analysis choices of SMART trial. This includes: Approaches to sample size calculation and design
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will develop and evaluate fault detection and fault location algorithms for these systems. The project is funded by GE Vernova under a wider collaboration with Imperial College London. You will be co
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, which frequently produces designs that are suboptimal when subjected to real-world dynamic environments. Although a handful of advanced, high-fidelity solvers have been developed to tackle this issue
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research in the new and exciting field of topological deep learning and explore its applications across diverse domains. You will develop novel algorithms that leverage topological and geometric techniques
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-driven workflows to support the optimisation and scale-up of chemical processes. This will include developing automated kinetic model generation algorithms, multi-fidelity optimisation strategies and data