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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
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deposition (ALD, CVD, etc.) and/or surface characterization (contact angle goniometry, electron microscopy, ellipsometry, spectroscopy, etc.) is required Strong analytical skills and ability to work
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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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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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efficiently and accurately interpreting their findings. Skills are needed in working with tissues, analytical techniques and biological samples. Experience of 3D printing and CAD design is highly desirable but
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analysing naturalistic infant neuroimaging data and ideally experience with dyadic parent–child data. We are looking for someone who is analytical, collaborative, and proactive — a researcher who can balance
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with tissues, analytical techniques and biological samples. Experience of 3D printing and CAD design is highly desirable but not essential. The Research Associate will be responsible, working with a team
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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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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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) integrating blockchain systems into AI-driven monitoring, predictive analytics, and digital twins (virtual models of CO2 conversion processes that mirror real-world performance) to support real-time