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Field
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rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. The Uterine Health Research Lab at UBC, led by Dr. Aline Talhouk, is a data-driven research group
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, or texturisation methods. Working knowledge of process optimisation tools (e.g. RSM) and familiarity with data‑driven or AI‑assisted modelling approaches is an advantage. Experience in pilot‑scale processing, scale
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of their development and structure. Working closely with colleagues at the Universities of Leeds and Reading, you will integrate theoretical understanding, observational data, and modelling approaches to improve
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background in at least one of the following areas: renewable energy sources, power systems integration, energy technology management, or smart grids. Experience in development of mathematical meta-models
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. CALPHAD modelling and thermodynamic assessments. Phase-field modelling of materials behaviour and evolution. The successful candidate will be able to work effectively both independently and collaboratively
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biological datasets. Develop quantitatively predictive models of biological systems. Integrate multi-omics data into quantitative computational models. Apply Monte Carlo sampling approaches to quantify
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. Develop AI, machine learning, optimisation, and decision-support algorithms. Build digital twin environments, physics-based modelling, concept evaluation frameworks, and technical risk assessments. Develop
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-Level Unit: Mechanical Engineering Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 30/01/2026 Job Description This project intends to develop innovative weatherproof
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inflammation, immune resolution, and host defense. We are seeking a scientifically independent, driven, and intellectually curious researcher who is motivated to develop new ideas, generate rigorous and
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partnerships. Supervision and Researcher Development: Contribute to the supervision and development of Honours and Higher Degree by Research students, supporting the hiring manager’s teaching and research