53 computational-model-"INSAIT---The-Institute-for-Computer-Science" PhD positions at Curtin University
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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model
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of the STAMP RSV Program, supported by the Stan Perron Charitable Foundation. The PhD candidate will play an important role in developing models of RSV transmission and vaccination efficacy to inform
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Scholarship base Merit Based Value CSIRO shall award the student an iPhD Program Scholarship annually (GST exempt), starting at $35,000 (2025 rate), indexed at 3% annually, for a maximum of 4 years. This is
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underwater communications is necessary. Conventional approaches in underwater communications only develop fixed models based on human knowledge or understanding which cannot fully cover the highly dynamic and
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transformation in the delivery of Australia’s Opioid Dependence Treatment Program (ODTP) is underway. Reforms commencing in the second half of 2023 will dramatically reduce the costs of treatment. In collaboration
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Trailblazer builds new research capabilities and drives commercialisation outcomes in the resources technology and critical minerals sector. There will be opportunities to be involved in the Trailblazer Program
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Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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submission within a couples therapy. Aims The project will aim to develop and test a model of how couples resolve imbalances along the dominance and submission dimension during couples therapy. Objectives
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and