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PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines Award Summary 100% home fees covered, and a minimum tax-free annual living
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, equipment, and travel related to the project. Overview Machine learning aims to transform the drug discovery landscape through the prediction of potential new therapeutics with unprecedented speed and
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the theme of: Artificial intelligence and data science in MLTCs Our research theme embraces the exceptional capacity of Machine Learning (ML) to identify patterns in vast collections of electronic health
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Award summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate) Overview One of the main issues with machine learning algorithms is that
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team across mechanical engineering and chemical engineering at Newcastle University and be able to learn different transferable research skills and hands-on experimental skills. If you are interested in
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PhD Studentship in Computer Science: AI and Machine Learning Explainability Award Summary 100% Home fees covered and a minimum tax-free annual living allowance of £18,622 (2023-24 UKRI rate
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; Xi'an Jiaotong - Liverpool University | Southampton, England | United Kingdom | about 16 hours ago
Supervisory Team: Dr Han Wu PhD Supervisor: Han Wu Project description: In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading
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the data and apply machine learning techniques to identify process efficiency improvements and enable prediction across scales for a given biological process. The PhD project will develop, construct and
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. Strong programming skills, preferably Python, Matlab, or R. Experience with one or more of hardware-programming, cyber physical/electrical systems, privacy-enhancing technologies, machine learning, signal
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systems, privacy-enhancing technologies, machine learning, signal processing. Good communication skills, especially in written English. Strong work ethics. Ability to think creatively and work independently