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We have 8 Data Analysis (synthesis) PhD Projects, Programmes & Scholarships

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Data Analysis (synthesis) PhD Projects, Programmes & Scholarships

We have 8 Data Analysis (synthesis) PhD Projects, Programmes & Scholarships

Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning

This project invites PhD candidates who are interested in developing generative models that can deal with complex multimodal patient data, contributing to safer, better and faster innovations of medical products via in-silico trials. Read more

Synergistic Experimental and Data-driven Catalyst Development for Sustainable Synthesis

The Thomas Group in collaboration with GSK and Dr Ephrath Solel Moroshko are now recruiting a motivated PhD student to develop a new method for the discovery and application of sustainable catalysis. Read more

UCL SECReT: The International Training Centre for Security and Crime Research Degrees

UCL's Security Science Doctoral Research Training Centre (UCL SECReT) was founded in 2009 with support from the Engineering and Physical Sciences Research Council (ESRC) and an array of public and private sector organisations working in crime reduction security and law enforcement. Read more

Accelerating computational materials discovery with diverse toolsets for verification and optimisation

The discovery of new functional materials to drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and a myriad of other unmet needs, is a scientific and societal grand challenge. Read more

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

Machine learning analysis of large-scale crystal structure prediction

Supervisory Team:  Prof. Graeme Day. Project description. A fully funded 3.5-year PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more
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