353 information-security-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix)
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year round Details Proteins bind and recognise each other using large surface areas. This recognition process is vital for a variety of biological applications. Sensing and recognizing specific proteins
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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis)
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of Sheffield. The aim of this project is to incorporate semiconductor quantum dots into quantum photonic circuits in order to demonstrate enhanced functionality for quantum technological applications. A key
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AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou)
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group)
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Lifelong Learning for Multimodal Farming Data Analytics in Precision Fertilisation Management (C3.5-COM-Yang)
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Perovskite radio-voltaics: using perovskite solar cells to create next generation nuclear batteries (S3.5-MPS-Ramadan)
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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments
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Deadline: Applications accepted all year round Details Hydrogen-tunnelling is key to many reactions involving biomolecules. However, hydrogen tunnelling is not easily detected directly at room temperature