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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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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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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
investigate the large area production of graphene, BN, MoS2 and other layered materials, optimize their transfer process in view of their application in energy, electronics and photonics. This will include
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vulnerable to hardware-level threats, including side-channel attacks, fault injections, etc., particularly when optimized for performance. This Research Fellow position focuses on AI security in the context
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optimization of GRAS microorganisms at 1-10 L fermentation scale. ii. Design and optimise downstream bioprocessing for protein recovery. iii. Perform characterization of protein isolates for incorporation
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preparation protocol optimized for low-quality DNA extracted from fuel samples. The initial appointment is for three months, with potential for extension based on funding availability. Key Responsibilities
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chip. A strong background in the design and fabrication of silicon photonic devices, advanced characterization techniques, and an interest in semiconductor materials optimization is highly desirable
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the field of Artificial Intelligence (AI) and Data Optimization. As a Researcher in Gen-AI and Data Optimization, you will be actively involved in a cutting-edge research project focused on applying