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MRC DiMeN Doctoral Training Partnership

Discovery Medicine North

Current Opportunities

Thank you for your interest in DiMeN DTP PhD studentships.

Applications for October 2018 entry have now closed, please keep up to date with our website and social media channels for future opportunities.

The DiMeN partnership will have studentship opportunities available for Oct 2019 focusing on the complementary themes of:

  • Genetic Influences on Health
  • Ageing and Disease
  • Bioinformatics and Personalised Medicine


Example Project titles (click the links below to view full project abstracts):

Tensor-based machine learning for personalised medicine  Supervisors: Dr Dennis Wang (Sheffield), Dr Haiping Lu (Sheffield), Non-academic Partner: AstraZeneca

Machine learning methods for assisted living Supervisors: Prof  Lyudmila Mihaylova (Sheffield), Prof Fabio Ciravegna (Sheffield), Prof Mark Hawley (Sheffield),

Application of machine learning approaches to analyse big and noisy datasets to understand the host response to lung and tissue damage by toxic agents Supervisors: Prof Julian Hiscox (Liverpool), Dr Graeme Clark (Defence Science Technology Laboratory), CASE studentship partner: Defence Science and Technology Laboratory

Deep learning approaches to discover new roles for non-canonical signalling in cancer  Supervisors: Prof Andy Jones (Liverpool), Prof Claire Eyers (Liverpool)

Big data analytics to understand heritable risk factors in melanoma  Supervisors: Dr Mark Martin Iles (Leeds), Prof Tim Bishop (Leeds)

Machine learning approaches to prediction and prognosis in haematological cancers  Supervisors: Prof David Westhead (Leeds), Dr Reuben Tooze (Leeds) Non-academic Partner: Haematological malignancy diagnostic service, St. James's University Hospital, Leeds.

Personlized models of brain stimulation Supervisors: Prof Marcus Kaiser (Newcastle), Dr Roman Bauer (Newcastle), Non-academic partner: Soterix Medical (USA)

Socioeconomic deprivation as a determinant of congenital diaphragmatic hernia: a translational, interdisciplinary investigation to inform prevention Supervisors: Prof Judith Rankin (Newcastle), Dr Kate Best (Newcastle)

A systems pharmacology approach to better understand variation in statin response using advanced computational methods   Supervisors: Professor Sir Munir Pirmohamed (Liverpool), Prof Andrew Morris (Liverpool), Non-academic partner: SAP

A Multi-scale computational model of bone remodelling for preclinical prediction of the effect of musculoskeletal treatments  Supervisors: Dr Enrico Dall’Ara (Sheffield), Prof Marco Viceconti (Sheffield)

Building integrated computer vision and genomic approaches to quantitate bone quality and fracture risk   Supervisors: Prof Mark Wilkinson (Sheffield), Prof Alejandro Frangi (Sheffield), Prof Eleftheria Zeggini (Wellcome Sanger Institute), Prof Chris Seal (Newcastle), Dr Dan Cuthbertson (Liverpool)

An individual participant data meta-analysis of early life determinants of obesity: a translational investigation of maternal behavioural and clinical determinants to inform childhood obesity prevention  Supervisors: Dr Nicola Heslehurst (Newcastle), Prof Judith Rankin (Newcastle), Prof Paul Burton (Newcastle)

Applying Machine Learning to 3D single molecule localisation analysis in super-resolution microscopy   Supervisors: Prof Michelle Peckham (Leeds), Dr Joanna Leng (Leeds)

Accelerating super-resolution microscopy with machine learning and pattern recognition    Supervisors: Dr Isuru Jayasinghe (Leeds),  Prof Nikita Gamper (Leeds), Dr Joanna Leng (Leeds)

Use of data science to elucidate functional mechanisms of inherited genetic variants of apoptosis genes affecting breast cancer susceptibility  Supervisors: Prof Angela Cox (Sheffield), Dr Ian Sudbery (Sheffield) 

How do cells “remember” their transcriptional programme after cell division    Supervisors: Prof Jonathan Higgins (Newcastle), Dr Daniel Rico Rodriguez (Newcastle)

Artificial Intelligence Methods for Drug Discovery  Supervisors: Dr Caroline Dart (Liverpool), Dr Jonathan Lippiat (Leeds), Dr Jaume Bacardit (Newcastle), Dr Richard Barrett-Jolley (Liverpool)

Inference of the neural drive to muscles using tensor decompositions and single-trial decoding algorithms Supervisors: Dr Ioannis Delis (Leeds), Dr Samit Chakrabarty (Leeds)

Application of Machine Learning to Neuronal Phenotypic Models to Identify drug targets in Motor Neuron Disease  Supervisors: Dr Richard Mead (Sheffield), Dr Dennis Wang (Sheffield)  Non-academic partner: Heptares Therapeutics

Scalable and interpretable machine learning strategies for automated annotation of single-cell RNA-sequencing data  Supervisors: Prof Muzlifah Haniffa (Newcastle), Dr Jaume Bacardit (Newcastle)

Use of machine learning methods to develop new biomarkers for nutrition induced toxicity  Supervisors: Prof Georg Lietz (Newcastle), Dr Jaume Bacardit (Newcastle), Prof Matthew Wright (Newcastle), Dr Dina Tiniakos (Newcastle)

Network correlation of non-coding RNAs: A new gene regulatory network in virus infection  Supervisors: Prof Adrian Whitehouse (Leeds), Dr Ian Carr (Leeds)

Detection of ultra-low frequency heart rate variability markers of disease using Artificial Intelligence beat detection and HRV modelling  Supervisors: Dr Richard Barrett-Jolley (Liverpool), Dr Jaume Bacardit (Newcastle), Dr Ingeborg Welters (Liverpool)

Causal Modelling to  investigate ionic motion in neuronal cell networks  Supervisors:  Prof Merlyne De Souza (Sheffield), Dr Claire Garwood (Sheffield), Dr Mauricio Álvarez (Sheffield), Prof Visakan Kadirkamanathan (Sheffield) 

Heart Motion Abnormality Detection Using Bayesian Deep Networks Supervisors: Dr Ali Gooya (Sheffield), Prof Alejandro Frangi (Sheffield)

Interpretable machine learning for in-situ healthcare delivery via wearable devices Supervisors: Dr George Panoutsos (Sheffield), Dr Iñaki Esnaola (Sheffield), Dr Mann van de Werken (SleepCogni) Non-Academic Partner: SleepCogni

Identifying new drugs to combat the virulence mechanisms underlying multidrug-resistant typhoid Supervisors: Dr Daniel Humphreys (Sheffield), Dr Stephen Brown (Sheffield), Prof Stephen Baker (Oxford and Vietnam)

Quantifying and incorporating information bias in modern life science  Supervisors: Dr Mirre Simons (Sheffield), Dr Toni Gossmann (Sheffield)

Machine learning analysis of optical coherence tomography images Supervisors: Prof J Read (Newcastle), Dr Will Innes (Newcastle), Prof Marcus Kaiser (Newcastle)

Using artificial intelligence to characterise cell-derived collagen scaffolds at the nanoscale   Supervisors: Dr Nicola Green (Sheffield), Dr Cornelia Rodenburg (Sheffield), Dr Frederik Claeyssens (Sheffield)

Integrating electronic health records and data derived from in silico models, for personalised medicine  Supervisors: Dr Maria-Cruz Villa-Uriol (Sheffield), Dr Mauricio Álvarez (Sheffield)

Using machine learning to improve outcomes in kidney transplantation   Supervisors: Prof Andrew Jones (Liverpool), Prof Derek Middleton (Royal Liverpool University Hospital)

Learning the Heart: Machine Learning on Cardiac Imaging Data for Cardiovascular Disease Diagnosis Supervisors: Dr Haiping Lu (Sheffield), Dr Andrew Swift (Sheffield), Non-academic partner: GlaxoSmithKline

Use of deep neural networks to identify mutational signatures Supervisors: Dr Mauro Santibanez Koref (Newcastle), Dr Stephen McGough (Newcastle), Dr Yu Guan (Newcastle), Dr Michael Jackson (Newcastle)

Predicting dynamic response of SUMOylation to stress: a combined modelling and experimental approach  Supervisors: Dr Chun Guo (Sheffield), Dr Ling-zhong Guo (Sheffield)

Using zebrafish to understand how genetic defects affect neuronal circuits Supervisors: Dr Anton Nikolaev (Sheffield), Dr Vincent Cunliffe (Sheffield)

Artificial Intelligence Technology for Cell Therapy Manufacturing Supervisors:  Prof Daniel Coca (Sheffield), Dr Ivana Barbaric (Sheffield)

Evolutionary and thermodynamical features of musculoskeletal disease mutations is human intrinsically disordered protein regions Supervisors: Dr Toni Gossmann (Sheffield), Dr Dan Rigden (Liverpool), Dr Mirre Simons (Sheffield)


Any questions regarding DiMeN please contact the DTP manager Emily: