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to develop a research profile and gain the qualifications required to be eligible for a position as an Associate Professor. Additionally, the position may provide valuable experience and other competencies
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Division of Brain and Cognitive Health Technology, which conducts cutting-edge research on the development, validation, and dissemination of technologies and methodologies for cognitive monitoring
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(NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in
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to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model zebrafish and
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hydro-thermal conditions. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical modeling and inversion studies
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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members of the research team to meet the overall aims of a work package which is focused on developing and implementing a knowledge and evaluation framework. They will assist with leading on key tasks in
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, environmental history and contemporary heritage policy. In this role, you will collect and analyse archaeological and environmental data from the Middle East, developing critical insights into premodern landscape
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for hypervisors, operating system kernels, and virtual ECUs, contributing to secure and reliable automotive software systems. Key Responsibilities: Design and develop advanced fuzzing frameworks for automotive
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of the United Nations Sustainable Development Goals (SDGs) across different national contexts, and seeks to explain variations in impact through existing governance structures and socio-political conditions. The research