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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant topics with the project. It is an excellent opportunity for a researcher to further their skill set in
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Artificial Intelligence (AI), particularly in the development and application of Large Language Models (LLMs), to join our team working on predictive maintenance solutions. The ideal candidate will have
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internationally-leading research and take a role in determining the future path of this research. Furthermore, the role holder will be responsible for the supervision of PhD and MSc students working on the relevant
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how we understand mental health; - Work in partnership with affected communities. To help us complete this work, we are looking for a Research Associate to help ensure we meet our commitments
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Position Summary
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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when a model drifts out of distribution. LEMMA tackles these bottlenecks head-on. By fusing vision-language foundation models, visual & natural-language explanations, and out-of-distribution (OOD
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at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Group C (Unionized
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technologies that enable robotic systems and critical infrastructures to detect and understand ongoing situations as they encounter uncertainty or unexpected events. The program also seeks to develop