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our lab, with applications focused on biodiversity conservation but also spanning human health. The candidate will join a multidisciplinary team focused on accelerating drug discovery with data-rich and
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Fellow to conduct cutting-edge research in AI-enabled modelling and design of microwave and RF devices. The successful candidate will develop advanced physics-assisted modelling techniques to accelerate
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multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods for ecosystem health. See https://www.youtube.com/watch?v=W4HxzWaK1Vo . We are a medicinal chemistry lab
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independent research in device fabrication and metrology, operating within a complex team, and delivering high-quality, timely results to accelerate discovery and device translation.
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to both accelerate the adoption of these core ideas and to further advance them. Building on our Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE), you will conduct and
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collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications. Key Responsibilities: Collaborate
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, modulation instability, and supercontinuum generation. Integrate experimental data with AI models, using machine learning to uncover hidden physics, accelerate simulations, and discover new operational regimes
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., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members
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study which overall purpose is to accelerate transformative advances in lymphatic medicine. The successful applicant will be based at City St George’s University London (Tooting Campus) working in
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was founded by the team behind the UK’s top-ranked Entrepreneurship Education Programme (Eduniversal) and has an outstanding record of accelerating more than 100 innovative ventures. The Centre integrates