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ventures. You will work on an mental health technology project where you will explore how data science, artificial intelligence and machine learning, may be deployed towards investigating the molecular basis
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spread of multidrug-resistant bacteria constitute a major public health issue. Among incriminated Gram-negative bacteria, Pseudomonas aeruginosa has been designated by the WHO as a critical priority
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. This role aligns with the University’s key research pillar of Future Health Key Responsibilities: Establishment of SOPs for oligo synthesis, purification and conjugation process Analytical method development
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community composition, air microbiomes and human health, pathogen detection, and modeling. Through 'omics analysis, we delve into ultra-low biomass environments, guided by aerosol physics, ecological
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Development Academic Group. Project Title: Youth Mental Health Project Introduction: The series of projects aim to investigate a variety of factors that influence stress and coping in youth. In the first
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disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state
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health assessment and remaining useful life prediction Job Requirements: PhD degree in Electrical Engineering or related field Expert knowledge in Li-ion batteries and machine learning techniques, as well
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onslaught of mental health issues, through the design and evaluation of a positive education programme. Specifically, the study seeks to develop and evaluate a positive education intervention supported by a
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that seeks to understand factors driving online social participation among older adults, and how their online-offline mix of social activities shape their health outcomes. Using multiple modes of surveys
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capture and reporting. Manage logistical issues and laboratory inventory. Ensure compliance with health and safety in all aspects of the research work. Job Requirements: Master’s/PhD (preferred) in