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aspects of data analysis: raw data QC, alignment and pre-processing, primary and secondary data analysis. Learn new approaches and then apply these to undertake a variety of cancer-related analyses
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
) the exploration of mixed-precision arithmetic in the context of high-order discontinuous discretization methods, and (2) the integration of machine learning techniques to complement and enhance traditional
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continue to be reviewed until August 31, 2026 or until the position is filled. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a
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and learning (e.g. student-centred active learning, large classes, small groups, team-based learning, blended and online learning, flipped classrooms, transnational education etc.), and educational
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. This PhD position focuses on the design of novel computer architectures to enable large AI models to run on embedded and edge systems under strict timing, energy, and memory constraints. Current solutions
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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is composed of stereotyped and uniquely identifiable neurons, plus machine learning approaches to computer vision, offers the opportunity to automatically map many connectomes across many animals, and
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such as large language models, machine translation, and automatic speech recognition and synthesis have on translators, as well as their impact on the profession, practice, training and society at large
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reliability, resilience, and security. Our team is looking for an intern who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural