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detection and isolation when required. Research Objectives The successful PhD candidate will work on: Data-driven nonlinear control under uncertainty Developing control strategies based on practical feedback
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Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties
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mechanisms to support detection and isolation when required. Research Objectives The successful PhD candidate will work on: Data-driven nonlinear control under uncertainty Developing control strategies based
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Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . To find out more about the People and Culture in the School of Mathematical Sciences please visit our website
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. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models
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models) to test the emergence (initial radiation) and canalization of morphologies observed today throughout primate phylogenetic history, including fossil evidence. Objectives To implement a study of
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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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with multitarget estimation for direction-of-arrival (DOA) detection and tracking in radar theory [12]. Graphs are a powerful data structure to represent relational data and are widely used to describe
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University of Oslo. Place of work is the Department of Biostatistics (OCBE), Domus Medica, Gaustad UiO campus, Oslo. Job description The position is connected to the project “Bayesian Enhanced Tensor
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Wind at https://wind.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our