114 quantum-computing "https:" "https:" "https:" "U.S" positions at Imperial College London
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of neuro-symbolic Computational Logic and Argumentation. The position offers an exciting opportunity for conducting internationally leading and impactful research in AI. The Research Assistant/Associate will
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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– this includes Research Software Engineers (RSEs) and technical professionals working in data and computing infrastructure / High Performance Computing (HPC) roles. Led by Imperial College London, the project is
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programme on the role of climate change in health impacts during heatwaves Further develop the Institute’s capability to conduct rapid health impact attribution at the global level Actively participate in and
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team, you will help ensure the smooth running of ECRI’s extensive programme of courses, events and tailored support, contributing to a vibrant and supportive research environment across the College. You
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will focus on new numerical algorithms that improve the computational efficiency of flutter constraint evaluations. By accelerating these evaluations, we aim to enable rapid flutter assessments, and
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to graduation—across all programme types. Working within regulatory frameworks and alongside senior colleagues, you’ll help ensure decisions are correctly implemented and communicated. You will also lead core
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research programme within the Department of Chemistry in one or more of the following fields: medicinal chemistry, novel molecular therapeutic modalities, chemical biology, AI-enabled therapeutic discovery
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, programme directors and project teams, you will help coordinate planning and prioritisation, monitor progress and risks, and provide clear reporting that supports effective decision-making. You will also
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and experimental validation. This will include applying and extending deep-learning approaches such as RFDiffusion and ProteinMPNN, developing in-house computational workflows, and carrying out