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infrastructure recommendations. As part of this work, we are seeking a Research Fellow to lead the development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and
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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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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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, 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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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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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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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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, 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
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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