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capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1
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Eligibility criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be found here . A
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programme, our advertised projects or the application process, please email FBL-PHD@open.ac.uk . We look forward to receiving your application.
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Kamelia Boodhoo (SAgE, Chemical Engineering) Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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of Dr Hannes Houck . The PhD project is funded under the ‘DeCoDER’ programme by the European Research Council (ERC-StG, 101222417 – press release ). The position is available for a start date from
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that corrected pseudoranges correspond to physically consistent receiver positions across all satellites. Temporal smoothness: enforcing corrections that are consistent with expected receiver dynamics, such as
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be found here . A minimum 2:1 Honours degree
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are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be found here . A minimum 2:1 Honours degree