368 evolution-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-MACAU" Fellowship positions in United Kingdom
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-emission vehicles, fleets, and associated infrastructure, including data analysis, impact assessment, and tool development. It will also involve interpreting and reporting total cost of ownership (TCO) and
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modelling tools to real-world challenges in antibody engineering. The position offers the opportunity to contribute to the development of new technologies for precise control of antibody glycosylation, with
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. The group will include diverse health professionals focusing on Asset-Based Community Development approaches. The long-term vision is to establish a Centre of Excellence for mental health asset-based
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modelling, onboard microgrids, and energy management systems. Contribute to the delivery of project milestones across modelling, EMS development, HIL validation, and system optimization. Support documentation
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(FANS) is one of Europe’s largest research groups and one of the few teams in the world bringing together leading experts in brain development and pro and antisocial behaviours. We believe it is
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centred on the development and application of wearable Magnetoencephalography (MEG) using Optically Pumped Magnetometers (OPMs). The successful applicant will join established teams of world leading
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internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. The Andrews lab is a new addition to the IDRM
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believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work
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global perspective. The role also involves organising research seminars and contributing to the development of conferences and collaborative academic initiatives. The postholder will contribute to teaching
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward