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Field
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(LLMs); Configure and optimize cloud computing solutions or on-premise infrastructures that ensure high availability and scalability; Implement tools for efficient resource management, such as GPU
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derive an optimal set of items to form a smart self-report instrument. This two-year project is fully funded by the Hearing Industry Research Consortium, and you will be among colleagues working on a
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genetic variation into elite germplasm. This will require the integration and optimization of several technologies, including genomics, machine learning, genetic simulation, and speed breeding. This is a
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/VR applications (e.g., babylon.js, A-Frame, etc.) will be an advantage Experience in developing XR app for teaching & learning/training. Experience developing optimized modules in C#/C++ within Unity
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to design, optimize, and scale-up of electrolyzer systems to use for recycling spent battery materials. Key Responsibilities Design & Development • Lead the design and scaleup our electrolyser systems
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fellow to work on an urban landscape optimization project. Design technology is not a novel concept; it has been widely used to address various design challenges, such as visualization and performance
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and troubleshoot the challenging problems. • Design and develop an intelligent and optimal switching strategies, and control techniques, for the energy efficient and reliable operation. • Dynamic
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of the REFINE-MS trial, a multi-centre, phase 3 study led by Professor Olga Ciccarelli and Professor Max Parmar at UCL. The trial aims to identify the optimal dosing frequency of ocrelizumab in patients with
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outbreaks. Key Responsibilities: Lead and maintain hNEC-ALI cultures from human clinical samples, ensuring high-quality differentiation and reproducibility. Establish and optimize airway or lung-derived
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points, using advanced methodologies and cutting-edge technology. The results will contribute to improving public administration efficiency, promoting de-judicialization, and optimizing resource allocation