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tracking multiple objects by modelling the interactions between them in the presence of uncertainties, e.g. for the sensor characteristics and environment. A combination between Bayesian methods and
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deterministic causality, even though it is seemingly autonomous like a robot, can acquire mechanically attained computational (Brain-like) functions, behave autonomously, and even realise cognitive behaviour is a
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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(e.g., Intelligent Speed Assistance). Applicable methods include quantitative surveys, qualitative interviews, video-based skills assessments and randomised controlled trials. Initial Reading Lazuras, L
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fixed-term 301 Tutors Ensure the core Academic Skills programme is cognisant of and responsive to the needs of international students Provide guidance to staff as part of the Elevate staff development
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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. Identify, create and provide a training and development programme tostaff on contracts and contract negotiation. Develop and implement an efficient contracting process, including an appropriate, transparent
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relevant Cluster Lead a 1-page expression of interest indicating the type of long-term fellowship they would like to apply to; how their research programme would enhance the activities in the School
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Siouris Application Deadline: Applications accepted all year round Details The inference of chemical reaction networks has always been a challenging task when numerous species can potentially interact with
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domains. Numerous studies exist investigating mesh manipulation and error estimation based on fluid domain properties, but there are only a few that have been applied to the case of deposition layers