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We are looking for a researcher, whose expertise lies in applied statistical modelling and methods in biological settings, to work with Prof. Gary Mirams and Prof. Simon Preston on an externally
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. Compositional Reasoning: Investigating new training methodologies that enable models to perform complex, multi-hop reasoning with strict provenance requirements. Robust Agentic AI: Building generalist, multimodal
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available in the electronic platform "Apply UC" under "My Application." VIII.I- Mandatory documents to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic
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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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tailored to these archetypes; and (5) simulate long-term resident and business responses to adaptation interventions. The Research Fellow will work directly with the Co-PI of the project, Professor Shirley
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estimation algorithms that operate reliably in challenging environments (e.g., low texture, illumination variation, dynamic scenes, or sensor degradation). The research will integrate model-based estimation
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technologies like Azure Data Explorer (ADX), PostgreSQL, MongoDB, and data driven machine learning tools such as Spark, Power BI. Experience with optimisation, simulation and data analysis tools such as Matlab
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of Communication and Information (WKWSCI) to integrate geospatial modelling, behavioural risk-perception research, agent-based simulation, and community engagement design in support of Singapore’s coastal adaptation
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structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good interpersonal, written and verbal communication skills, with the ability to work independently
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the following conditions: OBJECTIVES | FUNCTIONS This project aims to design methods that make distributed training of multimodal models more efficient. The scholarship holder will examine how the architecture