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Bioinformatics (neural engineering) PhD Projects, Programs & Scholarships

We have 7 Bioinformatics (neural engineering) PhD Projects, Programs & Scholarships

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  Gene Regulatory Networks in Development and Disease
  Dr T Sauka-Spengler
Application Deadline: 24 July 2020

Funding Type

PhD Type

Our laboratory focuses on deciphering gene regulatory networks that govern complex programmes during early vertebrate development.
  Gene Regulatory Networks in Development and Disease
  Dr T Sauka-Spengler
Application Deadline: 24 July 2020

Funding Type

PhD Type

Our laboratory focuses on deciphering gene regulatory networks that govern complex programmes during early vertebrate development.
  Development of hybrid machine learning based strategy for bioprocess online control
  Dr D Zhang
Application Deadline: 30 August 2020

Funding Type

PhD Type

The background of this research is to explore and integrate a range of mechanistic and machine learning based modelling strategies to develop a multilevel digital framework (digital twin) for industrial bioprocess dynamic simulation and prediction, online optimisation (online learning), and product quality control.
  Artificial Intelligence and Machine Learning for Biomedical Data
  Prof P Andras
Applications accepted all year round

Funding Type

PhD Type

Artificial Intelligence (AI) and Machine Learning (ML) are the leading edge approaches to data driven problems across all areas of life, technology and sciences.
  Deep Learning / Bioinformatics Approach for Protein-Protein Interaction Prediction
  Dr JC Nebel
Applications accepted all year round

Funding Type

PhD Type

Since most molecular processes rely on protein–protein interactions PPIs), knowledge of those interactions is extremely valuable for biomedical research and drug design.
  Application and development of machine learning approaches for automated analysis of Paediatric Brain Tumours
  Dr M Gairing, Prof A Jones
Application Deadline: 12 April 2020

Funding Type

PhD Type

There is significant interest in the use of image processing techniques and machine learning to improve automation and facilitate clinical decision making.
  Development of image analysis methods and software to study musculoskeletal diseases using artificial intelligence (AI)
  Dr Claudia Lindner, Prof T Cootes
Applications accepted all year round

Funding Type

PhD Type

Musculoskeletal (MSK) diseases affect an increasing number of the population globally. In the UK, on average 3 in 10 people are affected, which increases to 1 in 2 in the age group 65+.
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