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machine learning and/or artificial intelligence, with strong foundations in computer science (algorithms, systems, or theory) alongside applied statistical methods. l Experience applying AI/ML methods
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, Computational Linguistics, Computer Science, or related field; with four to six years of experience working with AI or machine learning , with demonstrated success in enterprise applications. Experience in higher
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, tiered online prevention programme for adolescents and young adults. SAMPO combines e-screening, personalised e-assessment based on network analyses, and modular online risk and resilience toolboxes. We
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) Established Researcher (R3) Application Deadline 1 Sep 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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opportunity to shape the future of medicine. Job Description The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking
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efficient navigation algorithms for multirotor operations around vessels. The role will focus on integrating drone airspace-usage predictions with Vessel Protected Volume models, developing optimisation and
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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
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Date Posted: 08/07/2026 Req ID: 49772 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Electrical & Computer Eng Campus: St. George (Downtown Toronto) Position Number
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on Embodied AI Safety. The role will focus on designing, developing, and implementing novel algorithms and models to address emerging challenges in Embodied AI Safety, including attack and defense mechanisms
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on world model. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in world model, Multimodal Large Language Models and Video Diffusion