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. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca , check out @TorontoMet (external link, opens in new window) and
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data and archaeological signatures (e.g., circular mounds, linear ditches, rectangular foundations, etc.) tailored for AI applications – Feature engineering and representation learning to enhance
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will include design, execution, and reporting of both qualitative and quantitative studies in collaboration with senior researchers. Who we are The Department of Management is part of Aarhus BSS , Aarhus
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, as well as learn how to perform robust in silico analysis of data (training will be provided by senior lab members, collaborators, or experts in the Institute core facilities). The candidate will
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capacities for dialogue, disagreement, collaboration, and peaceful conflict engagement in diverse and often polarized environments. A central component of the PhD project will be the comparative mapping
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal
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collaborative research projects, including but not limited to: • Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods • Analyzing and integrating large-scale
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Collaborating Faculty/Team: Multidisciplinary team across the Faculty of Medicine, Nursing and Health Sciences, the Faculty of Information Technology, and Monash Malaysia Remuneration: Fully funded PhD
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will have the opportunity to collaborate closely with external partners, including organisations in digital learning and the charity sector. The PhD position is fully funded for the duration of four