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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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is highly complex. For the proposed PhD project, experimental data are already available that bring together maps of orientations of such crystals together with the deformation pattern generated during
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. Amandeep Kaur, you will contribute to a vibrant research program centered on the design and development of novel fluorescent probes for super-resolution imaging—a powerful technique revolutionizing how we
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ecosystem interactions. If used wisely for decision-support, these technologies can help select and implement effective policies. This PhD project, jointly offered by Monash University (Australia) and
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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/ Phd qualification). These scholarships are not applicable to recipients of other scholarships from other countries or other scholarship providers *Minimum academic requirements to be considered
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geopolitics and related areas such as trade policy and international business, to large and culturally-diverse cohorts of undergraduate and postgraduate students. We welcome candidates having a research program
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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Course Director of the BCom and BEc at the Clayton and Malaysia campuses. An enthusiastic supporter of the BCom Honours program, and educational opportunity in general, Dr Booth supervised a large number
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain