AI News, PhD Studentship artificial intelligence

PhD Studentship: Artificial intelligence enabling next generation synthesis

This project will bring together expertise in new synthetic chemistry methodology [1, 2] and expertise in the application of artificial intelligence approaches in chemistry [3] to develop new predictive tools for C-H functionalisation reactions that will allow synthesis chemists to predict reaction outcomes and selectivities thereby accelerating drug discovery.

It will provide a range of experience in computer programming and the development and application of machine learning algorithms to chemistry.

If English is not the candidate’s first language, they must provide evidence before the beginning of the studentship that they meet the University minimum English Language requirements (IELTS 6.0 with at least 5.5 in each element).

To apply, students should initially contact Professor Hirst, tel: 0115 951 3478 or Email:jonathan.hirst@nottingham.ac.uk, after which a formal application can be made via the University web site at:https://pgapps.nottingham.ac.uk.

PhD Studentship: Artificial intelligence enabling next generation synthesis

This project will bring together expertise in new synthetic chemistry methodology [1, 2] and expertise in the application of artificial intelligence approaches in chemistry [3] to develop new predictive tools for C-H functionalisation reactions that will allow synthesis chemists to predict reaction outcomes and selectivities thereby accelerating drug discovery.

It will provide a range of experience in computer programming and the development and application of machine learning algorithms to chemistry.

If English is not the candidate’s first language, they must provide evidence before the beginning of the studentship that they meet the University minimum English Language requirements (IELTS 6.0 with at least 5.5 in each element).

To apply, students should initially contact Professor Hirst, tel: 0115 951 3478 or Email:jonathan.hirst@nottingham.ac.uk, after which a formal application can be made via the University web site at:https://pgapps.nottingham.ac.uk.

Job by Reference - The University of Nottingham

This project will bring together expertise in new synthetic chemistry methodology [1, 2] and expertise in the application of artificial intelligence approaches in chemistry [3] to develop new predictive tools for C-H functionalisation reactions that will allow synthesis chemists to predict reaction outcomes and selectivities thereby accelerating drug discovery.

It will provide a range of experience in computer programming and the development and application of machine learning algorithms to chemistry.

If English is not the candidate’s first language, they must provide evidence before the beginning of the studentship that they meet the University minimum English Language requirements (IELTS 6.0 with at least 5.5 in each element).

To apply, students should initially contact Professor Hirst, tel: 0115 951 3478 or Email: jonathan.hirst@nottingham.ac.uk , after which a formal application can be made via the University web site at: https://pgapps.nottingham.ac.uk.

Fully-Funded PhD Studentship in Computer Science: Information Visualization

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