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We have 439 data modelling PhD Projects, Programmes & Scholarships

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data modelling PhD Projects, Programmes & Scholarships

We have 439 data modelling PhD Projects, Programmes & Scholarships

Machine Learning and Molecular Modelling in Mass Spectrometry

This PhD project will harness the power of computational modelling and machine learning (A.I.) to analyse data obtained by mass spectrometry experiments and predict structural characteristics of biomolecules and their interactions. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Advanced Electron Paramagnetic Resonance (EPR) spectroscopy – method development and applications

Electron Paramagnetic Resonance (EPR) spectroscopy is a magnetic resonance technique that is exclusively and exquisitely sensitive to unpaired electrons that are found in radicals and paramagnetic metal complexes. Read more

Ontological modelling for data analysis

  Research Group: Computing, Informatics and Applications Research Group
Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Cristina Luca. Dr Arooj Fatima. Read more

Molecular Simulations and Data-driven Modelling for Polymer Nanocomposite Membranes

The urgent need to mitigate climate change has led to increased focus on sustainable energy solutions. This includes the development of mixed matrix membranes (MMMs) for gas separation in net-zero applications. Read more

Clinical Prediction Modelling under Federated Learning

Clinical prediction models (CPMs) take a set of characteristics about a patient to estimate their risk of an event of interest. Developing CPMs using data that captures observations across multiple clusters (e.g., countries) can increase the robustness and generalisability of CPMs. Read more

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