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We have 1,327 Computer Science PhD Projects, Programmes & Scholarships for Self-funded Students

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Computer Science PhD Projects, Programmes & Scholarships for Self-funded Students

We have 1,327 Computer Science PhD Projects, Programmes & Scholarships for Self-funded Students

Smart Crystals: Computer Vision and Machine Learning Assisted Industrial Crystallization Modeling and Control

This AstraZeneca-funded project (Macclesfield, U.K.) addresses key challenges in automating crystallization processes, a crucial separation and purification technique widely used in producing fine chemicals, including pharmaceuticals. Read more

Research and data synthesis in different topics in ecology and evolution, including meta-science & methodolgical development

The PI will build an international hub or Centre for Open Science and Research Synthesis in Ecology and Evolution to revolutionize and improve scientific practises in ecology, evolution, and related fields, such as conservation and environmental sciences, by forming a large international collaborative network. Read more

Exploring Bias in Retrieval-Augmented Generation (RAG) Models

Are you ready to be at the forefront of AI innovation and redefine how we build ethical, inclusive language models? Join us on a cutting-edge, fully-funded 3-year PhD project investigating hidden biases in Retrieval-Augmented Generation (RAG) models as part of the Participatory Harm Auditing Workbenches and Methodologies (PHAWM) Project. Read more

CoSTAR National Lab doctoral programme

Applications are open for CoSTAR PhDs starting in September/October 2025 with funding for up to 9 PhD students. Read more

CoSTAR National Lab doctoral programme

Applications are open for CoSTAR PhDs starting in September/October 2025 with funding for up to 9 PhD students. Read more

CoSTAR National Lab doctoral programme

Applications are open for CoSTAR PhDs starting in September/October 2025 with funding for up to 9 PhD students. Read more

Noble-Metal Free High-Entropy Alloy Catalyst Design for Drug Synthesis Driven by Machine Learning

This research aims to design and optimize cost-effective, non-precious metal high-entropy alloy (HEA) catalysts for the Heck reaction in drug synthesis by leveraging Density Functional Theory (DFT) and machine learning algorithms. Read more

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