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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
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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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on the development of theoretical models, experimental design, and data interpretation Prepare and publish high-quality scientific papers and technical reports in peer-reviewed journals Participate in grant writing
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models for children. College / Directorate College of Engineering, Design & Physical Sciences Department Department of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title
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examining modulation of the tumor microenvironment and obesity-related colorectal cancer (CRC) disease progression using tissue-engineered patient derived xenograft (PDX) CRC models validated through
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, Operations Research, Computer Science or a related discipline and must have no more than five years of post-qualification experience at the time of application; and (b) experiences in optimization modeling
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Responsibilities: Explore the frontiers of intelligent sensing by advancing cutting-edge theories and pioneering transformative technologies. Integrate wireless sensing with Large Language Models (LLMs) to pioneer
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signal processing models to analyze waveforms generated by traditional patient monitors and a novel wearable sensor and build a decision support tool to guide CPR Participate in the user interface and
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-related illnesses (HRIs) in Singapore’s context. This study aims to establish baseline HRI data and integrate this with climate projection models to assess future health burdens and intervention strategies
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, internationally recognized for its high-impact research, investigates new techniques and technologies for engineering advanced biomaterials and complex 3-dimensional (3D) tissue models applied to musculoskeletal