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by the SUMIT partners in digital and evaluation activities ensuring that it is distributed throughout the demonstrator sites ensuring that these are delivered to a high standard and in li ne with QUB
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aims to become a global centre of excellence, generating evidence and policy solutions to support a health-centred net zero housing transition. Objectives include developing systems-level understanding
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systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
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The Molecular Parasitology Research Group led by Professor Gobert, in the School of Biological Sciences, is looking to recruit a highly motivated individual with relevant expertise and interest in
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to data analysis, and contribute to the objectives of the STFC Gravitational Wave Consolidated Grant “Precision Gravity With LIGO-Virgo-Karga” (PI: T Sotiriou, Co-Is: M Bezares, S Green, L Sberna) and/or
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aims to become a global centre of excellence, generating evidence and policy solutions to support a health-centred net zero housing transition. Objectives include developing systems-level understanding
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systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
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outreach and/or being engaged with an EDI interest group (e.g. Women in Research and the BME Staff Network). There is a single post to start immediately. This post will be offered on a fixed-term contract
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University Belfast and the network of project partners. The post is fixed-term for 36 months, starting 1st September 2025 (or as soon as possible thereafter). A key component of the post is to collect and
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to data analysis, and contribute to the objectives of the STFC Gravitational Wave Consolidated Grant “Precision Gravity With LIGO-Virgo-Karga” (PI: T Sotiriou, Co-Is: M Bezares, S Green, L Sberna) and/or