114 computer "https:" "https:" "https:" "https:" "The University of Manchester" positions at Imperial College London
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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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to the success of a top‑ranked computing department. A supportive, collaborative and diverse working environment aligned with Imperial’s values of Respect, Collaboration, Excellence, Integrity and Innovation
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computer literate, (e.g. Microsoft Word, Excel, Outlook) and experience of a computerised diary/booking system (ideally Kx) required Have excellent interpersonal and communication skills Tact and diplomacy
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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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. The Events and Operations Officer will be central to CADI’s day-to-day effectiveness, providing the operational and logistical foundation that enables the Centre to deliver its ambitious programme of AI
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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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, 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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are highlighted below: - Cultivated meat: examples include a research program on cell line development, cell engineering, process optimisation, media optimisation, product development and downstream processing, and
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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