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analysing using quantum-enhanced machine learning. These include strong background both in classical machine learning, physics-informed methods, graph neural networks, and quantum algorithms. The work will
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analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization, database management systems, data mining, predictive analytics, and
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer
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, with expertise in relevant areas such as efficient learning, transfer learning, LLMs, or computer vision. Proven experience in high-level research, including publications in top-tier journals and
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 22 hours ago
& Medicine. This is an exceptional opportunity for a talented and ambitious researcher to build an independent, high-impact research program at the intersection of machine learning and healthcare
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program. Empowers and motivates students to learn effectively. Strong leadership and motivational skills are essential. Attends all faculty meetings, college assemblies, professional development and
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The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a
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generation, media forensics, anomaly detection, multimodal learning with an emphasis on vision-language models, computer vision applications for space. Key responsabilities: Shape research directions and
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diverse and global society. Through a variety of educational pathways that provide access and range from certificates and associate degrees to a professional doctoral program, UNG is responsive to regional
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer