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27th May 2024 Languages English English English PhD Research Fellow in machine-learning methods for education research Apply for this job See advertisement About the position A position in a
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 27th May 2024 Languages English English English PhD Research Fellow in machine-learning methods
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develop and apply machine learning potentials (MLP) to model, understand, and optimize proton and hydroxide conductivity of metal-organic frameworks for potential use as ion exchange membranes in fuel cells
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/index.html ). The role of the PhD fellow will be to (1) develop and apply machine learning techniques and statistical analyses, including Cox Proportional Hazard models and polygenic hazard scoring, to fit and
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systems or other related fields (e.g., sociology, anthropology, history, textual studies, digital humanities, design, human-computer interaction, art history, visual culture, artistic research
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interaction, art history, visual culture, artistic research). The Postdoctoral Research Fellow will be expected to devote their time to their own research agenda as well as working with a dynamic team of
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interaction, art history, visual culture, artistic research). The Postdoctoral Research Fellow will be expected to devote their time to their own research agenda as well as working with a dynamic team of
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demonstrates sufficient computing and data analysis skills to exploit Run-3 data. Fluent oral and written communication skills in English. Desired qualifications: Knowledge of and experience with machine
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well as machine learning/artificial intelligence and robotics. Excellent skills in written and oral English The following are also desirable: Skills in psychology-inspired computing models, user-centered design
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machine learning techniques Interest or experience in statistical modelling and analysis Interest in mathematics and natural science Experience with scientific publication and conducting research Experience