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Falls are a leading cause of injury, reduced mobility, and loss of independence, particularly among older adults. Fear of falling (FoF) is both a psychological and behavioral factor that can significantly contribute to fall risk, often leading to activity avoidance, deconditioning, and increased vulnerability.
This project aims to outline the use of Virtual Reality (VR) and Augmented Reality (AR) as innovative tools to assess fear of falling alongside intrinsic and extrinsic fall risk factors in realistic environments.
The primary objective is to investigate Fearing of Falling and fall risk in realistic environments using an immersive VR/AR-based platform. Specifically:
You will have:
The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.
We look forward to receiving your online application with the following documents:
Applications via email or postal services will not be considered.
Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)
Duration: Full-Time or Part-Time position (Contract)
Salary: For Full-Time Research Assistant position: SGD 4000 - SGD 4600 /month, For Part-Time Research Assistant position: $15 per hour for not more than 34 hours per week
Further information about the Singapore-ETH Centre can be found on our website: https://sec.ethz.ch/
For further information, please contact: Dr. Yixing LIU (Singapore-ETH Centre) at [Confidential Information], (strictly no applications)
Job ID: 147359313
Skills:
microwave engineering , Matlab, Python, CST, transmission line theories, antenna theories, EM simulation software, testing and characterization of RF microwave devices
Skills:
biostatistics , Data Management, Coral ecology, Reporting, Interpretation, Latex, LIT survey techniques, R, Ms Office Applications, Mathematical Modelling, Analysis, Marine environmental research
Skills:
tokenization , Python, fine-tuning, NLP concepts, deep learning framework, language models
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