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Field
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Medical - Clinical Internal Number: A-175743-11 General Description Our fellowship offers a unique occupational therapy approach to address the complex needs of individuals with acquired brain injuries (ABI
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be part of a collaborative, interdisciplinary team working across the UK and EU, with access to real-world pilot sites and a network of academic, industry, and community. The Role: As a Research Fellow
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performance guarantees, addressing several pressing challenges in contemporary streaming data scenarios, such as evolving baselines and complex, data-intensive settings. The applicant must master theoretical
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complex information in English effectively in oral and written format. Ability to build relationships to develop internal and external networks. Commitment to continuous professional development
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Fellow, you will: Conduct qualitative and quantitative data analysis, including qualitative coding, mixed-methods analysis, and/or network mapping as appropriate. Manage and ensure the ethical handling and
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the Infocomm Technology cluster at SIT. This project addresses the critical challenge of delivering real-time Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and
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systems and cyber-physical integration; Knowledge of digital twin tools such as Unity, Unreal Engine, Siemens NX, and MATLAB Simscape; Ability to represent complex kinematic and dynamic models, including
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to the UK’s net zero target. RESPECT will achieve this by collating data through novel interdisciplinary collection, modelling and engagement methods. These data will establish the capacity of land and land
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to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. Ability to build relationships and collaborate with others, both internally and externally. About Us Join a
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submissions, amendments, and compliance reporting apply clinical and academic expertise to audit and interpret complex clinical data, ensuring accuracy and rigour in research findings design and develop