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We have 120 Computational Chemistry PhD Projects, Programmes & Scholarships

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Computational Chemistry PhD Projects, Programmes & Scholarships

We have 120 Computational Chemistry PhD Projects, Programmes & Scholarships

High-throughput characterization and engineering of nucleotide synthases for production of nucleoside analogues

Nucleotides are the building blocks of life, modulating diverse processes from protein production to cell signalling. It is therefore unsurprising that synthetic nucleoside analogues have been developed as therapeutics for the treatment of a wide range of diseases including cancers and viral infections. Read more

Defining the state-of-the-art in X-ray and electron spectroscopies for discerning the characteristic electronic structure of actinide materials

An EPSRC centre for doctorial training sponsored PhD studentship is available to undertake research in the field of actinide X-ray and electron spectroscopy in a collaborative project between AWE and two research groups at the University of Manchester. Read more

CDT-QTE: Quantum Spin Dynamics and How to Make it Faster

Supervisory Team: Prof Ilya Kuprov, Dr Marina Carravetta. Project description: This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

CDT-QTE: Magnetic Resonance Spectroscopy & Imaging at the Quantum Mechanical Performance Limit

Supervisory Team: Prof Ilya Kuprov, Dr Marina Carravetta. Project description: This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. Read more

CDT-QTE: Quantum control of magnetic processes

Supervisory Team: Prof Ilya Kuprov, Dr Marina Carravetta. Project description: This project is part of the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton. 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

Large-scale electrochemical DFT models of a PEM hydrogen fuel cell

Supervisory Team: Chris-Kriton Skylaris (90%) Andrea Russell (10%). Project description. Proton-exchange Membrane (PEM) hydrogen fuel cells are an emerging technology for environmentally sustainable transport and other carbon-neutral energy applications. Read more

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