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interdisciplinary team on developing high performance urban farming module via computational and empirical analysis Support in the design and maintenance of the vertical farm to be setup in SIT@Dover and willing
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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taking forward an ambitious programme of qualitative community research and engagement based on the principles of co-production. Key features of the role include: Leading on the co-design and co-delivery
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with regional scientists and managers interested in invasive species and with Regional Invasive Species & Climate Change (RISCC) Management Networks in the Southwest and elsewhere in the US. Translating
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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Institute for Health and Care Research (NIHR) Rose-NET National Evaluation Team, one of three teams commissioned by the NIHR to undertake in-depth evaluations of large-scale service changes of particular
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, Policy and Economics (HOPE) research group, based at the University of Manchester. The successful candidate will join the prestigious National Institute for Health and Care Research (NIHR) Rose-NET
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the Zero Net Emissions Agriculture CRC initiative , focusing on developing tropical grasses with low methanogenic properties to help combat agricultures impact on our environment. This position contributes