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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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Participating in regular meetings with teaching and support staff contributing to the effective overall management of the programme and student life cycle. Contribute to the design, delivery and development
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. This position will contribute to the next generation of LFP-based batteries, improving their safety, efficiency, and overall performance for sustainable energy storage solutions. Job Description: The successful
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online provision of the pre-sessional courses you will need: a modern laptop or desktop computer in very good working order (Windows 11 or macOS Tahoe 26.1 preferred) a headset (strongly recommended) or
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Overall purpose: To work within the group of Dr William Schafer at the MRC Laboratory of Molecular Biology (LMB), within a programme aimed at mapping and analysing the structure of the hatchling octopus
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into a secure, user-facing web application. The role blends data engineering, applied AI, geostatistics and socio-behavioural modelling, supported by academic supervision and commercial mentoring. This is
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positions Imperial as a force for good in the world. Through our Imperial Class of 2030 programme, the continued development of our White City Deep Tech Campus, and cross-institutional School of Convergence
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further on in their career, we will be looking for a proven ability to secure funding that drives real-world change for individuals, families, organisations, or communities. We welcome applicants from
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events as well as our growing external business. You will deliver an outstanding customer experience, ensuring compliance to the food safety policy and operating procedures as well as achieving sales and