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AI & Machine Learning (chemical) PhD Projects, Programs & Scholarships

We have 10 AI & Machine Learning (chemical) PhD Projects, Programs & Scholarships

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  3D Spectrum Imaging and Visualisation of Chemical Microstructure
  Dr J Leng
Application Deadline: 3 January 2020

Funding Type

PhD Type

This PhD studentship will make a key contribution to the development of a methodology to produce 3D chemical maps of a multiphase material (or the interface between two different materials) from the visible to the atomic scale by utilising the state of the art electron microscopy facilities in the Leeds Electron Microscopy and Spectroscopy centre (LEMAS).
  Decoding the Language of Nature: It is time for Artificial Intelligence to predict the function of natural products based on structure
  Prof R Quinn, Dr M Liu, Dr CW Wang
Applications accepted all year round

Funding Type

PhD Type

The profound and specific biological activity of natural products coupled with their immediately recognizable structures suggests a code within these structures that we are not as yet aware of.
  MRC DiMeN Doctoral Training Partnership: Software, Synthesis and Screening: cheminformatic led invention, design and synthesis of novel compounds for the treatment of septic shock
  Prof JPA Harrity, Dr G Richards, Dr A Hogben, Dr A Pannifer
Application Deadline: 6 January 2020

Funding Type

PhD Type

Industrial and academic medicinal chemists take advantage of modern cheminformatic and biology technologies to inform and guide their science.
  Understanding the Reliability and Transferability of Machine Learning Methods Used in High Throughput Reaction Discovery and Optimisation
  Dr D Nelson, Dr M Reid, Dr D Palmer
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Efficient organic synthesis enables pharmaceutical products to be produced in a scalable, robust, safe, and cost-effective way; significant resource is expended to optimise the yield and purity of the products obtained.
  Monitoring blood glucose levels with imaging photoplethysmography
  Dr J Alastruey, Dr P Lamata, Dr J Dennis, Dr M Nilchian
Applications accepted all year round

Funding Type

PhD Type

This project is part of the joint King's College London - Imperial College London EPSRC Centre for Doctoral Training (CDT) in Smart Medical Imaging.
  EPSRC Centre for Doctoral Training in Next Generation Synthesis & Reaction Technology (rEaCt) - 10 Studentship Projects Available

Funding Type

PhD Type

Applications are invited for ten 4-year MRes/Ph.D. EPSRC CDT rEaCt studentship projects – Cohort 2 (Intake October 2020).
  Monitoring blood glucose levels with imaging photoplethysmography
  Dr J Alastruey, Dr P Lamata, Dr J Dennis, Dr M Nilchian
Applications accepted all year round

Funding Type

PhD Type

This project is part of the joint King's College London - Imperial College London EPSRC Centre for Doctoral Training (CDT) in Smart Medical Imaging.
  Improving UK air quality forecasts during heatwaves
  Dr R Hossaini, Prof J Wild
Application Deadline: 17 January 2020

Funding Type

PhD Type

Poor air quality is a major global health concern affecting all industrialised nations and virtually all of society. Worldwide, ~3 million deaths are attributable to air pollution annually (World Health Organization), with ~40,000 premature deaths in the UK alone (Royal College of Physicians).
  MRC DiMeN Doctoral Training Partnership: RNA modifications: cracking the RNA code in health and disease
  Prof K Stellos, Prof I Spyridopoulos, Dr A Gatsiou, Dr S Tual-Chalot
Application Deadline: 6 January 2020

Funding Type

PhD Type

Inflammation comprises a fundamental biological process tasked to protect our body against invasion of microorganisms (e.g virus, bacteria, etc).
  Computational Discovery of Conduction Mechanisms in Lithium-Ion Solid Electrolytes
  Dr B Morgan
Application Deadline: 24 November 2019

Funding Type

PhD Type

A fully-funded 4-year PhD studentship in theoretical / computational chemistry is available in the Department of Chemistry at the University of Bath.
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