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Field
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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predicts battery performance and properties from fabrication line measurements. About you Hold (or be near completion of) a PhD/DPhil in Control Engineering or a related subject, with the possibility
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research practices * Please note that this is a PhD level role but
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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biochemical reconstitution, electron cryomicroscopy (cryo-EM), advanced bacterial genetics, and phage biology to explore how cells and viruses control the three-dimensional structure of DNA. We investigate how
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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Contract: 2 years (24 months – full-time) We are looking for an excellent post-doctoral candidate with a PhD / DPhil (or near completion) in quantum optics, solid state quantum physics, magnetic
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simple) optical design and assembly, larger practical whole system design, system control and automation (lab and industrial), automating data acquisition, data processing and interpretation. It may be