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Field
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on profile). • Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets. • Develop data visualisation tools and contribute to interactive surveillance dashboards. • Support
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are the same. You will have the opportunity to share your ideas, develop yourself professionally, and acquire new skills. Innovation and collaboration are at the heart of our work. You will be part of
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such as movement, interaction, and eye-tracking can be used to study this process. Specific research objectives Develop VR-based experimental tasks to study how people learn and update spatial
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(e.g. electrodes) with minimal performance losses. Life cycle analyses can also be used to develop processes that enable the most energy-efficient separation and recovery of the individual cell materials
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without invasive surgery. Project background We develop advanced focused ultrasound technologies, adaptive closed-loop control algorithms, and ultrasound-responsive micro/nano therapeutic carriers as an
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seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have
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practice; Follow AISSR PhD courses on theory, methodology, and academic writing; Teach in the Sociology department’s educational programmes (10% of appointment). What do you have to offer Candidates must
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centre that seeks to analyse and develop the foundations of trustworthy AI. Its mission is to enable AI systems that are accurate, interpretable, inclusive, fair, safe, sustainable, and well-governed. By
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sustainability assessment to develop next-generation tools and methods that inform decision-making and support the development of safe and sustainable products and policies. This PhD position is embedded in
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relevant standards Design and develop control strategies for hydraulic systems Implement control algorithms capable of handling dynamic and varying operating conditions in mobile hydraulic drive construction