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Postdoctoral/Research Fellows in Asia Research Institute (Food Politics and Society Cluster FY27/28)
food scholarship privileges Asia, an incredibly rich laboratory in which to study the intersections among power relations, vested interests, complex networks, and contested meanings of food that permeate
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and collaborative research at the intersection of quantum information science, machine learning, statistical learning theory, quantum thermodynamics, and complexity science. The Research Fellow will
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for complex food and maritime supply chain systems considering disruptions and climate changes (2) Develop statistical inference techniques to analyze sea shipment network flow data and disruption data (3
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: FastTrackAI: Fast-Tracking AI for Scientific Discovery with Accelerated Networking and Computation on Modern Architectures in Singapore Project Introduction: The advancement of accelerated computation and
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application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection
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air temperature maps • Develop and train Graph Neural Network (GNN) and Long Short-Term Memory (LSTM) architectures to model complex spatial and temporal dependencies in urban microclimate data
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The Research Fellow will have opportunities to work with well-characterised clinical samples, state-of-the-art laboratory platforms, and an extensive network of local and international collaborators
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the capacity to drive research projects forward independently and with minimal supervision. Proficiency in written and verbal English skills, capable of articulating complex scientific concepts to both academic
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing optimisation. Consolidate experimental, techno‑economic, and sustainability data into robust technical evidence packages