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; Health data and analytics; Multiomics and single cell analyses; MedTech and Devices; and Therapeutic Innovation. These themes will come together to create a complete journey from disease identification
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data collection. Laboratory Analysis: Conduct advanced analytical testing including SEC, DLS, HPLC, and UV spectroscopy to assess physical and chemical stability. Evaluate infusion bags for contamination
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of human immune system Perform data extraction and analysis and ensure full compliance with existing ethical regulations as appropriate Although working under the general guidance of an academic or Principal
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independent research in theoretical nonlinear fibre optics, or in soliton theory and the nonlinear Fourier Transform. Previous experience in the analytical investigation and numerical modelling of light
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techniques and related data analysis tools. Relevant analytical and problem-solving skills with the ability to work independently and in a team environment. About the School/Department/Institute/Project
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the Blackholistic collaboration, which is funded by an ERC Synergy grant and aims to try and unify accretion and jet formation across the black hole mass range. The collaboration incorporates observations, analytic
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Soft Matter and Wetting Group headed by Prof. Robin Ras
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the Blackholistic collaboration, which is funded by an ERC Synergy grant and aims to try and unify accretion and jet formation across the black hole mass range. The collaboration incorporates observations, analytic
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nonlinear Fourier Transform. Previous experience in the analytical investigation and numerical modelling of light propagation in nonlinear optical fibres, fibre lasers or resonators is required. Previous