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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 2 months ago
and loosely supervised learning, they could provide more efficient methods useful for machine learning and artificial intelligence domains. Moreover, such sensorimotor models will be use as tools
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, aiming to enable faster, cheaper, and more robust production through machine learning, multi-scale modelling, and advanced process simulation. The successful candidate will be based at the Bristol
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for collaboration. You will also have the opportunity to develop your own research project aligned to the interests of the MND group. This could include new machine learning models or exploring a particular aspect of
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects focusing primarily on animal models with
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characterize the spatio-temporal contexts that favor crises. • Development of advanced predictive models (multivariate approaches, machine learning) combining event data, snow and weather data, and remote
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
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intelligence, statistical learning, data mining, machine learning, database fundamentals, and related data models and queries. The IAD is the home of several graduate programs, including a Ph.D. in Computational
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. The manager will develop an annual work plan in consultation with the two supervisors and is evaluated on the success of that plan. The Department of Engineering Education (http://www.enge.vt.edu) is home to
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extracting topics (topic modeling within the context of the clean energy transition), opinions, and social networks over time from documents (e.g., newspaper articles) using machine learning (ML) methodologies