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Summary of the role Learning Experiences & Innovation (LXI) is the ‘go-to’ service across the Exeter learning community in empowering our students, academics, staff and partners to co-create a
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Applications that are not submitted through the EDICT portal (https://www.edictproject.eu/) will not be considered. Please do not apply through the Aberdeen system. The Aberdeen Centre
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analysis (Excel, R, Python, Prism etc). D4 Knowledge of applying artificial intelligence and/or machine learning approaches to biological image analysis or data interpretation. Experience Essential E1
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that developments are well understood and embedded. To apply electrical/electronic design skills to create a prototype including circuit analysis, computer aided design and complex simulation tools, e.g. MATLAB/SPICE
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may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled
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will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https
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‑of‑the‑art computational featurisation with experimental reaction‑kinetics data to build a machine‑learning platform capable of predicting catalyst performance. This is an exciting, highly collaborative
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to the development of interventions that support people to have healthier lives. The successful applicant will be based in the Manchester Centre of Health Psychology http
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information can be found on our website https://www.ucl.ac.uk/biosciences The Annals of Botany Company https://annalsofbotanycompany.co.uk/home-welcome is an educational charity that has been supporting plant
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biology/bioinformatics, statistics, machine learning or related field. You will have a strong track record of applying genetics-based, physicochemistry-based and structure-based computational or statistical