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qualified in relevant subject area 3+ years’ post-doctoral or equivalent industry experience in omics with preferably focus on spatial transcriptomics Proven ability to develop and optimise spatial biology
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interdisciplinary project brings together leading industrial and academic partners to revolutionise ship design by integrating generative AI, simulation, and advanced manufacturing. In this role, you will contribute
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on data-intensive research Engaging with stakeholders across academia and industry Developing recommendations to help the shaping of research priorities, both internally and to funders, through co-authoring
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. IT literacy and ability to use software such as Excel Desirable Criteria 1. Postgraduate degree at PhD level in a related subject area 2. Evidence of collaborations with industry 3. Proven ability
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sustainable transportation vehicles (MegaCast)’. Please see the very recent EPSRC announcement: https://www.ukri.org/news/new-research-hubs-to-cut-carbon-and-reshape-uk-manufacturing/?utm_medium=email
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academia or industry to contribute to the development of research programmes and methodologies Grade 8 Qualifications Honours Degree and PhD in an appropriate discipline such as Earth observation, data
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space clusters, the Glasgow City Region encompasses a full value chain incorporating the design, development, and manufacturing of satellites and space support systems, as well as launch vehicle
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announcement: https://www.ukri.org/news/new-research-hubs-to-cut-carbon-and-reshape-uk-manufacturing/?utm_medium=email&utm_source=govdelivery The duties that are required for this specific role includes
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent
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to disseminate findings to colleagues. C11 Strong cross-discipline collaborative ability, including evidence of working across industry and academia. C12 Able to work in both industrial and academic environments