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Field
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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, statistics, programming (e.g., R or Python), or language technology, scientific writing and analytical ability. Experience with text analysis, machine learning, or linguistic data management will be considered
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should have the competencies of R3 category. Required qualification/skills/experience: - PhD degree in Electrical and Electronic Engineering or a related discipline (e.g., Telecommunications, Computer
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test accessible and inclusive infrastructure and wayfinding systems. This PhD position is part of the NWO-funded BRIDGE-XR project, which aims to provide a comprehensive examination of accessibility
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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Academically relevant background within marine control/cybernetics, computer science, or hydrodynamics, with good skills in mathematics, programming, and machine learning. Master's degree in control engineering
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Learning Centre; A complete educational program for PhD students; Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses; 7 weeks
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? This PhD project offers a unique opportunity to apply machine learning to solve a critical engineering challenge within the railway industry. The Challenge: Rail grinding is a crucial maintenance activity
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predictive optimization, behavioral modeling and machine learning. There is vivid interaction within the group to foster collaboration both with scientific and social activities. The PhD candidate will also