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appropriate conditions, it provides a confidence set (credibility set if prediction is Bayesian) for a multivariate estimate with statistical coverage guarantees. This PhD project aims to develop new CP methods
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predictions. To mitigate these effects, advanced ML techniques such as Bayesian deep learning, probabilistic models, and uncertainty quantification methods can be applied to enhance model robustness
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to: Design computer vision algorithms to detect and classify key clinical activities during birth and neonatal resuscitation, including object detection and tracking Develop temporal analysis techniques
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of a postdoctoral position is to build up an academic track record that qualifies you for a position as assistant or associate professor. The position also offers additional skills that are to your
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planning and make such systems more reliable. BaneNOR are responsible for the Norwegian rail infrastructure and oversees operations, maintenance and construction of railways throughout the country
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well as having a strong track record in relation to computational efficiency, which is fundamental in real time processing of streaming data. The main purpose of a postdoctoral fellowship is to provide
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that are participating Required selection criteria You must have completed a doctoral degree in urban water systems engineering or related fields A strong publication track record with publications in relevant research
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been directly trained. The project will include “eye-tracking” technology to further examine the mechanisms of how these stimulus classes occur when faced with making choices. The project will therefore
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to the position’s field of research, and a vision statement for the position’s research activities (max 2 pages) Description of your academic track record highlighting the three works you consider most relevant
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. FATES simulates and predicts growth, death, and regeneration of plants and subsequent tree size distributions by tracking natural and anthropogenic disturbance and recovery. It does this by allowing