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quality conferences (e.g., AAPM, MICCAI, ICCV, CVPR, etc.). Ability to build effective networks with colleagues through effective liaison with industry or hospital partners. Excellent interpersonal and
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to uncover SRL patterns in video-based learning (VBL) and digital game-based learning (DGBL) environments; • Conduct process mining and network analysis to differentiate SRL patterns between high- and low
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data analysis (TDA) techniques such as persistent homology, with application in real data sets such as biomolecular data and network data Perform data preprocessing, feature extraction, and analysis
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to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary
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, etc.). Experience presenting at high quality conferences (e.g., AAPM, MICCAI, ICCV, CVPR, etc.). Ability to build effective networks with colleagues through effective liaison with industry or hospital
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opportunities to access national and international networks of scholars through the regular programs of conferences, seminars and visits to the ANU, as a means of a broader contribution to public engagement
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network of academic and industry experts shaping the future of smart shipping and maritime decarbonisation. As a university, we are committed to creating an inclusive environment that fosters respect
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives
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to fourth year of Project 3, the main goals are to examine the changes in students’ peer networks and quality of relationships with key significant others (i.e., peers, parents and teachers), the influence
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convolutional neural networks (CNNs), generative AI methods such as diffusion models, and interpretability techniques commonly applied in hydrology including SHAP or LIME for explaining outputs of forecasting