227 web-programmer-developer-"https:"-"UCL"-"U"-"P"-"https:" Fellowship positions in Singapore
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Responsibilities: The candidate will work for the project to conduct the research on development of analysis framework on how to build up a generic framework to use learning-assisted approach to solve various
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Responsibilities: Responsible for conducting research, mentoring graduate and undergraduate students, and reviewing and publishing papers. Brainstorming research ideas, formulating problems, developing methods, and
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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research groups of 40 researchers in a cluster of high-end nanophotonics and quantum laboratories and nano- prototyping and characterization cleanroom, developing new photonic technologies with an outlook
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Fellow (RF) with an interest in computational biology. The RF will work on a project aiming to understand how to predict the microbial community under environmental pressure and use the insights to develop
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-disciplinary team and external collaborators for drug discovery and development Provide support in grant administration/management Job requirements: At least PhD degree in Chemistry, Biology, Biophysics
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Responsibilities: Research and develop novel ML-based methodologies and algorithms in LLM-empowered Sub-Graph Learning for Large Graph Models. Working closely with other Postdoc/RA/PhD students to discuss the ideas
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scientific support for the PI and research team on projects related to mental health and resilience: Serve as Research Fellow for multiple research projects related to mental health and resilience Develop and
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optimise its role in maximizing fusion performance Analyse the linear and nonlinear dynamics of key micro-instabilities to identify the fundamental physical mechanisms governing turbulent transport Develop
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. The project aims to develop critical components for photonic quantum information processing. The material platform will be thin-film lithium niobate, and device components include on-chip photon-pair and