177 algorithm-development-"Prof"-"Prof" Fellowship positions at Nanyang Technological University
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will have opportunities for involvement in other projects taking place within the lab. Key Responsibilities Engage in academic activities (prepare manuscripts, reports, grants, and present findings in
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peptides, antimicrobial assays development, and electrochemical studies efforts led by the other partners in the consortia. The candidate shall work under the supervision of the Principal Investigator, who
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. This lab is focusing on research and development of exploring visual signal representation towards machine uses. We
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decarbonisation, data analysis, methodology development and applications Coordinate the preparation of project reports and deliverables Publish findings in top peer-reviewed journals and conference proceedings
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modelling Reconstructing the temporal evolution of magma reservoir properties at one of more potential caldera systems. Petrological timescales will be determined via diffusion chronometry and/or
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processes, and leading R&D efforts in material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs
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material science for application development. Drives the development and implementation of coating techniques. Oversee the transition from experimental designs to scalable solutions. Additionally, the role
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to work on AI in mental health. The role will focus on developing predictive models for early detection of mental
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. Key Responsibilities: To develop process for electroreforming of biomass to chemicals and fuels To fabricate device prototypes of plasmon-enhanced electroreforming of biomass Conduct research and
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. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with