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, open code, open educational resources and practices that support replication. Desirable: F1 Experience of estimating uncertainty (such as Aleatoric and Epistemic Uncertainty) in Deep Neural Networks. F2
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immediately and is offered for 24 months at the first instance. The further extension of the post is possible subject to performance. About Green Future Fellowship programme: https://raeng.org.uk/green-future
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Code. This will include the carrying out of the highest standard of individualised patient care and ensuring that all documentation is accurate and comprehensive. As well as participating in the clinical
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celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow
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to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of making distinct contributions to identifying and pursuing
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innovation, research methods, systematic literature reviews, ethics and integrity, and research impact Technical training e.g. scientific computing, coding, materials and devices, prototyping and product
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emerging offshore wind sector needs. You will receive in-house training on multiphase DEM–LBM modelling and code development using the HYBIRD framework within the Geotechnical Engineering Group. Additional
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conditions for appointment of academic staff in the University, please click https://www.polyu.edu.hk/hro/docdrive/careers/doc/Prof.pdf . TO APPLY Please submit an application through our Global Search
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acids institute (https://sheffield.ac.uk/nucleic-acids) and the centre for Single Molecule biology (https://smash.sites.sheffield.ac.uk/), providing additional expertise. This project will contribute
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generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A