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modelling of cohort studies to identify risk factors and produce individual and population-based estimates. Participate in and/or present at conferences and/or workshops relevant to the project as required
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The Continental-NTU Corp Lab invites applications for the position of Research Fellow. Key Responsibilities: Lead the development of situation awareness, interaction behaviour modelling and decision
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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career development of young investigators in the field of basic and translational hematology. Postdoc candidates will also have the opportunity to learn basic and clinical hematology, innate immunity
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diffusion models using path integral formulations. This project aims to advance quantum machine learning by: Designing a quantum counterpart of diffusion models; Leveraging path integral methods to model
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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
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John Williamson, and Dr Sebastian Stein. The job requires the proven ability to develop novel theory and build and evaluate working interactive prototypes involving complex computational models
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student
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). This work is part of a larger project aiming to develop novel battery thermal management systems (BTMS). The main tasks include (i) The development of an integrated model for the BMS-BTMS
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under