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candidates from all backgrounds to join our community. Postdoctoral Researcher in Computational Design for Climate-Adaptive Urbanism School of Arts, Design and Architecture – Department of Architecture
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visas, we also offer financial assistance towards visa renewal fees. These activities are designed to promote physical and mental wellbeing among staff members. Please visit our website to find out more
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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College of Chemistry and Molecular Engineering, Peking University | London, England | United Kingdom | about 14 hours ago
other conditions that affect the brain. The legacy, ethos and drive of the IoPPN has ensured its position at the forefront of mental health care, redefining mental illness, its treatment and its place in
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access to a 24-7 Employee Assistance Programme. Our on-site nursery is rated Outstanding by Ofsted, and you can access holiday camps for children aged 5-16. Our family-friendly policies, including
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including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. Our on-site nursery is rated Outstanding by Ofsted, and you can access
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) Rewards and Benefits: 33 days annual leave, plus 9 buildings closed days for all full time staff (Part time workers should pro rata this by their FTE). Use our total rewards calculator: https://www.hw.ac.uk
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software such as recommendation systems, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers
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Communication, Collaboration, and Care Delivery). This role focuses on Work Package 1 (WP1): Analysing the Spatial Design of Emergency Departments (EDs) in the Swiss Healthcare System using advanced spatial