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project is a scholarly intervention that sets out to provide a fresh perspective on the complex negotiations between state, society, and science and technology in Singapore in order to address the vital and
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motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
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environment - drive the development and function of complex biological systems. Within this project the Research Fellow will drive the development of the unified multicellular mathematical framework within
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many recent works claimed that long-range jumps can radically change exploration, search efficiency, and spreading patterns on complex networks.The idea of the project is to ‘cross-breed’ long-range
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and complex datasets and translate to easy and meaningful public health evidence. Position 2: Full-time, fixed-term appointment for 2 years This Postdoctoral Research Fellow requires analytical skills
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) based in the GSK Carbon Neutral Laboratory for Sustainable Chemistry at the University of Nottingham. This is a highly challenging project in Synthetic Organic Chemistry and requires excellence in
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1
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Salary Academic Level B $127,436 - $151,328 + 17% superannuation About the opportunity The School of Life and Environmental Sciences is currently seeking a Postdoctoral Research Fellow in Quantitative
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enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker