401 parallel-computing-numerical-methods uni jobs at University of Sheffield in United Kingdom
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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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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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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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(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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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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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
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detect changes in step quality associated with acquired brain injury?” and involves a programme of laboratory-based work using a smart pressure-sensor based insole and app. We aim to develop biomechanical
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance