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the CFD component of the DETECT project and support other aspects of the project (management, reporting and fieldwork). The overall project aims to assess coastal vulnerability and model it using a
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-than-human places” and foster improved ecological awareness and engagement surrounding ongoing and future multispecies relations at the coasts. The successful candidate will be physically based at University
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through other channels. Person Specification: PhD in a discipline with a quantitative background, including statistics, data science, health science, epidemiology or a related areas. Experience in data
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team and participate in our vibrant research community here at CSIT. Project Title: Fault-tolerant Wireless Time Sensitive Networks This project builds on our ongoing work on modelling and simulating
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-clinical models. They will coordinate and participate in network collaborations to investigate tissue-resident immunity and protection against challenge. They will work closely with an experienced graduate
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Emergency Coordinators, Incident Commanders, Responders and Observers in a timely fashion. Geo-AI can be classified as an emerging field which attempts to capture, process and model real-world environments
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Generators, and hardware-accelerated primitives, the project establishes a dual-layer security model that fortifies data protection across diverse infrastructures. Leveraging hardware-accelerated primitives
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combine insights across areas such as MRE Technologies, Materials & Structures, Observations & Operations, Coastal & Marine Systems, Bioenergy, Energy Policy & Modelling and Renewable Energy Management
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developed by the Offshore Renewable Energy group to model project scenarios. • Collaborating with team members to adapt simulation tools based on project needs. • While primarily contributing to the IDEA-IRL
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production. • Direct experience and a strong understanding of structural analysis techniques. • Experience with validation of biological test compounds in relevant models