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supports the wider Registration Department with loans, exhibitions, classes, transit, and storage. That includes helping register objects from ancient West Asia and North Africa: assigning numbers and labels
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statistical analysis including multivariate methods, data reduction techniques, structural equation modeling, survival analysis and Bayesian hierarchical imaging models, graph neural networks. The specialist
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. Desired Experience: Experience with generative AI methods for molecular design, graph neural networks, protein language models, foundation models, active learning, Bayesian optimization, or reinforcement
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architectures), determination of optimal embeddings and encodings for protein structures, multiple alignment methods, Bayesian dendrogram reconstructions, and benchmarking including jackknife resampling. Position
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interests in the areas of applied and pure mathematics, and statistics. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data
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, Bayesian methods, or related methodologies. (Desirable) Experience in developing statistical software, reproducible research workflows, or opensource research tools. (Desirable) How to apply To be considered
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Intern (Temp) - (T239734) Description Intern The Intern will support the vision and objectives of the assigned department or area. The Intern may be given selected work assignments to reinforce
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team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on realising SONNETS' ambitious objectives. Researchers on our team contribute towards
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features. Build and test pipelines for pose detection, object tracking, optical-flow analysis, and gaze–scene alignment, in collaboration with computer vision researchers. Analyze large multimodal datasets
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 months ago
covers the object's entire life cycle and uses real-time data sent by sensors on the object to simulate its behavior, monitor operations, and anticipate its functioning. Partial differential equation (PDE