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| University of Leeds Funding: School of Chemical & Process Engineering Studentship, in support of the EPSRC Research Grant: Modelling, Validation and Application of Triboelectrification (Grant Number: EP
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(LLR), which is made up of approximately 30 members working on Higgs boson physics, standard model physics, and beyond. Members of the group are also involved in the operation of the detector and on
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systems. To harness its potential, this research emphasises the use of field-programmable gate arrays (FPGAs) as a core hardware platform – enabling real-time, parallel, and low-latency processing. FPGAs
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modular training in parallel to research activities in years 1 and 2. The duties associated with this post include: • Liaising between the cell biology and molecular biology teams
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the past ten years thanks to artificial intelligence, mainly in the form of deep convolutional neural networks. In parallel, functional analysis of tissue samples via novel microscopy techniques and spatial
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committees, consider the usage of standards, and contribute to standardisation documents Present findings at international events The research activities will be hosted by the Parallel Computing and
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activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI
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events The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on
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are expected. Knowledge in parallel programming is desirable. Prior knowledge in differential-algebraic equations, Gaussian processes or kernel based methods is a plus; programming experience in Python or C/C
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a powerful model for uncovering muscle-specific protective processes. Yet, significant gaps in our knowledge have hampered advancement in this field including the lack of molecular markers and