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performance and reliability targets. Cluster-Based Training & Optimization Train large-scale CV models on multi-GPU or distributed setups, optimizing hyperparameters and resource usage. Profile training
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analysed in a standard web browser. HiPIMS computations can be executed on local GPUs or through cloud-based GPU services, empowering users to conduct large-scale fast flood simulations without worrying
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GPU NVIDIA H100. Interdisciplinary collaborations with AI researchers and clinicians from NHS hospitals. Participate in large collaborative project funded by the National Institute of Health and Care
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Units (NPUs), significantly enhancing performance and energy efficiency. AMD, for example, integrates a CPU, NPU, and GPU into its latest Ryzen processors, unlocking new possibilities for on-device AI
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for collaboration inside and outside of the University. It has access to extensive dedicated computing resources (GPU, large storage). The successful applicant will work under the supervision of Prof. Hain. Please
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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
research team, including postdocs and fellow PhD students, to conduct hands-on experiments such as: Formulating and manufacturing tablets with different structures. Using cutting-edge imaging (X-ray
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instruments and use them together with graduate students and postdocs to acquire data on DNA replication and/or chromatin organization. An aptitude in instrumentation development and quantitative biophysics, a
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-fidelity simulation data will be used to build the machine-learning model to be then embedded into a GPU-accelerated blade-element momentum solver that will be made open-source to enable direct impact with
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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
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well as controlled plant growth facilities to support the research and the appointee will join a vibrant and mutually supportive team of postdocs, PhDs and technicians all exclusively focused on different aspects