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We have 94 Chemistry (learning) PhD Projects, Programmes & Scholarships

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Chemistry (learning) PhD Projects, Programmes & Scholarships

We have 94 Chemistry (learning) 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

Mathematical Machine Learning for Molecular Modeling

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

Deep-learning for semantic-based information extraction from natural language

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

Uncertainty quantification for machine learning models of chemical reactivity

In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Read more

Fully funded PhD studentship: Transforming respiratory care at the bedside using machine learning assisted on-chip vibrational spectroscopy

Supervisory Team. Prof. Senthil Murugan Ganapathy. Project description. Acute respiratory distress syndrome (ARDS), a widespread respiratory condition affecting all ages, causes respiratory failure due to inflamed, fluid-filled lungs hindering gas exchange. Read more

Identification and characterisation of liquids using ultrasound and machine learning

This project involves further development of an analytical system for identifying and characterising liquids based on the formation of liquid drops and employing interferometric ultrasound methods to investigate them. 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

Predicting drug solubility in different solvents using molecular simulation and machine learning

Predicting the solubility of complex drug-like molecules is crucial at several stages of the drug discovery and manufacture. In particular, solvent selection has been highlighted as a crucial step in process design and optimisation [1]. Read more

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