154 phd-position-in-data-modeling-"UCL"-"UCL" research jobs at Hong Kong Polytechnic University
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@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 7 October 2025 until the position is filled
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- “Integrative AI for precision radiation oncology”. He/She will be required to: (a) develop AI solutions that personalise radiation therapy; (b) build predictive models for treatment optimisation; and (c
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degree in Information Systems, Computer Science, Environmental Science, Business Analytics or a related field; (b) have proven experience in system implementation and database administration; (c) be
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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machine learning force fields (MLFFs) to scale up simulations, and model larger and more complex systems; (c) analyze simulation data to predict material properties, reaction pathways and diffusion
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/TEA modeling, data analysis, and relevant software applications. For the post in Laser Flame Diagnostics, applicants should have relevant experimental background and data processing skills. For all
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measurements of indoor environmental quality (IEQ), energy simulations, and machine learning modelling; (b) strong analytical and problem-solving skills, with the ability to conduct research independently
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: (a) a PhD degree in Applied Linguistics, Second Language Acquisition, Psycholinguistics or a related discipline, or an equivalent qualification and must have no more than five years of post
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- “Multi-agent systems with variable morphology: models, controls, and applications”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact
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) work with gamification content, Rhino3D grasshopper plugins and construction materials to communicate with Unity virtual content; (c) collect and analyse information in trans-disciplinary fields and