292 data-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" positions at Monash University in Australia
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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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major research initiative developing a long-term data asset to improve care for people with moderate to severe traumatic brain injury. Based within the Pre-hospital, Emergency and Trauma Research (PET
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team shaping national policy As Research Fellow, turn big data into real-world impact The Opportunity The National Addiction and Mental Health Surveillance Unit (NAMHSU) is leading a Medical Research
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information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible
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Distribution Drift Data-Efficient Deep Learning for De Novo Molecular Design from Analytical Spectra Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT
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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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resource for individuals seeking assistance, information, and guidance related to addiction and mental health concerns. The helplines at Turning Point are staffed by trained professionals who offer
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. This role includes user training, equipment design, procurement, alignment and maintenance, vendor liaison, and the development of operating procedures, alongside data analysis and operational and budget
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions