14 phd-machine-learning "Newcastle University " scholarships

PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines

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

PhD Studentship: Integrating computational physics-based simulation and machine learning with drug discovery pipelines

, 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

PhD Studentship - Application of artificial intelligence to identify risk patterns and potential solutions for patients with Multiple Long-Term Conditions with a focus on eye disorders

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

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) Overview One of the main issues with machine learning algorithms is that

PhD in Mechanical and Systems Engineering: Manufacturing of the Next Generation All-Solid-State Lithium-Sulfur Batteries

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

PhD Studentship in Computer Science: AI and Machine Learning Explainability

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

PhD Studentship: Privacy Attacks and Defences in Federated Learning Systems

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

PhD Studentship - Data Driven Optimisation for Process Scale-up

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

PhD Studentship in Computer Science: Global Scale Digital Forensics for CyberPhysical Systems

. 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

PhD Studentship in Computer Science: AI Model based Digital Forensics for CyberPhysical Systems

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