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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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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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. The post is available 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
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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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of Service for Academic Staff. Please visit https://www.ucl.ac.uk/human-resources/policies/2021/jun/conditions-service-academic-staff for more information. About you The successful candidate will hold
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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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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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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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gut-resident macrophages and T cells contribute to synucleinopathy, building on recent discoveries from the lab (De Schepper et al., Nature 2026; ; https://www.nature.com/articles/s41586-025-09984-y