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clinical informatics using real-world electronic health data. The Research Assistant will play key role in the delivery and operational running of the ENHANCE research project. This includes drafting project
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) measure that includes non-market agricultural outputs and impacts beyond environmental indicators. The ideal candidate will hold a PhD in agricultural economics, econometrics, environmental economics, or a
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. However, we know very little of the direct interactions of carbon dioxide with the cell, despite the importance of the gas to biology. Carbon dioxide mediates the earliest known example of a protein post
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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Systems, covering Robotics and Autonomous Systems and Human-Robot Interaction. This post sits within the Lincoln Institute for Agri-food Technology (LIAT), an interdisciplinary research centre in the
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will have or be close to the completion of a PhD in Neuroscience, Psychology or a closely related discipline. With in-depth knowledge of cognitive and computational neuroscience including motivation
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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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postdoctoral researcher with a background in politics, law, economics, or related disciplines to work on GEOCLOUD: The Geopolitics of Cloud Computing , a European Research Council Advanced Grant project