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Research Assistants (m/f/d) (40-80h per month) Focus on Large Language Models and Explainable AI We are looking for a motivated student to join our research team as a Student Research Assistant in the field
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looking for anybody of any type to work as Life Drawing Models for CSU's Spring 2026 Life Drawing course. This is an excellent opportunity to build modeling experience in a relaxed, respectful, academic
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
School of Finance, Actuarial Studies and Statistics at the ANU College of Business and Economics. The successful candidate will develop and maintain R packages in statistical design and modelling, while
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do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
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Overview of the Role Are you an ambitious researcher looking for your next challenge? Do you have an established background in hydrology and climate modelling? Are you looking to make a real-world
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function model (classifier) that can be used in new patients to accurately predict who will (/will not) develop chronic postsurgical pain; and identify, in a subset of preselected adolescent patients
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– Adaptive & Agentic AI. The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g
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environment, responding to student needs, managing effective instructional activities, modeling employability skills, demonstrating professionalism, developing cooperative work relationships with other faculty
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to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will design, develop, and implement
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analyzing DNA methylation data (e.g., preprocessing, normalization, quality assurance). Support basic statistical modeling and data integration activities linking methylation, behavioral, and health outcomes