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(pro rata) on completion. We anticipate that interviews will be held on Zoom on Tuesday 2 July and Wednesday 3 July. The position is based in Media Culture Heritage (MCH) within the School of Arts and
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that interviews will be held on Zoom on Tuesday 2 July and Wednesday 3 July. The position is based in Media Culture Heritage (MCH) within the School of Arts and Cultures at Newcastle University www.ncl.ac.uk/sacs
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Department of Food & Nutritional Sciences, University of Reading | United Kingdom | about 1 month ago
into different literature (scientific and grey) or, in the best case, in different databases. However, they are not always reusable because they are difficult to find and access and because databases are not
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will use atomistic modelling methods to predict and validate the crystalline, amorphous and glass-ceramic structures of state-of-the-art and new solid-state battery materials. The project will focus
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mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
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mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
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well as reviewing relevant literature for the preparation of academic and non-academic outputs. In particular, the role will involve analysis and write-up for co-publication of existing qualitative and quantitative
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of financial data with monitoring and evaluation data and undertaking analysis. Review of relevant literature for the preparation of academic and non-academic outputs is essential. In particular, the role will
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its studies on understanding DNA and RNA replication from a quantitative perspective. The lab employs state-of-the-art biophysical techniques (e.g. advanced single-molecule fluorescence microscopy
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skills • Demonstrable project management skills • Excellent written and oral communication skills Desirable • Strong machine learning experience and proficiency in the state of the art data