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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
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Additional information Supervisors of this PhD project: Prof. Fernando Alfredo Auat Cheein, Dr Richard CP Green Host institution and living conditions: Harper Adams University is a specialist agriculture
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on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban environments shall be performed. Subsequently weather-and turbulence-related limit values shall be formulated
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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have excellent communication skills and will to collaborate with
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular