Bioinformatics (primary care) PhD Projects, Programmes & Scholarships

We have 6 Bioinformatics (primary care) PhD Projects, Programmes & Scholarships

Postgraduate Research Opportunities at the Faculty of Medicine and Dentistry

To deliver our research strategy of ‘Better Health for All' and our aspiration to train the research leaders of the future, the Faculty of Medicine and Dentistry (top 10% faculties of medicine in the world, QS2022) has opened opportunities for self-funded PhD students in multiple areas of biomedical and translational research across six internationally recognised Research Institutes. Read more

Funded PhD Programme (Students Worldwide) PhD Opportunities

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Health outcomes of children with rare or complex conditions and their families: a longitudinal cohort study using linked primary and secondary healthcare data in England

Great Ormond Street Hospital for Children NHS Trust GOSH BRC Applied Child Health Informatics Theme (Non-Clinical) PhD Studentships

Rare or complex conditions (RCCs), such as major congenital anomalies or inherited conditions that are screened for in newborns, have serious health, functional and social consequences for affected individuals. Read more

Supervisors: Dr AZ Zylbersztejn, Dr J Tan, Prof MCB Cortina Borja

15 May 2024 PhD Research Project Funded PhD Project (UK Students Only)

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Using Big Data Approaches to Enhance Fluid Stewardship in Intensive Care Unit

Charles University Third Faculty of Medicine

Charles University, Third Faculty of Medicine, Dept. of Anaesthesia and Intensive Care Medicine . An enthusiastic group of young scientists mostly from Charles University in Prague and UMC Amsterdam is looking for a junior colleague who is willing to join our team and take over Dysnatraemia subproject. Read more

Supervisors: Dr M Heldeweg, Prof F Duska

Year round applications PhD Research Project Funded PhD Project (European/UK Students Only)

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BARIToNE: Deep Seeded: Improving barley for deeper sowing (Project code 24I)

The James Hutton Institute PhD Opportunities

Supervisors. Lead supervisor - Dr Sarah McKim, University of Dundee. Second supervisor - Dr Chiara Campoli, James Hutton Institute. Read more

Supervisors: Dr S McKim, Dr C Campoli, Dr L Ramsay, Dr D Sparkes

31 May 2024 PhD Research Project Competition Funded PhD Project (UK Students Only)

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BARIToNE: Deep Seeded: Improving barley for deeper sowing (Project code 24I)

University of Dundee School of Life Sciences

Supervisors. Lead supervisor - Dr Sarah McKim, University of Dundee. Second supervisor - Dr Chiara Campoli, James Hutton Institute. Read more

Supervisors: Dr S McKim, Dr C Campoli, Dr L Ramsay, Dr D Sparkes

31 May 2024 PhD Research Project Competition Funded PhD Project (UK Students Only)

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Experimental and computational Cancer PhD: Overcoming osteosarcoma chemoresistance by characterizing and targeting cellular quiescence

University College London UCL Cancer Institute

Cancer is the leading cause of death in children and the second in young adults in England and Wales. Sarcomas, tumours that originate from connective tissues (bone, muscle, fat), account for around 15% of childhood cancers. Read more

Supervisors: Dr M Secrier, Dr L Cottone

15 May 2024 PhD Research Project Funded PhD Project (UK Students Only)

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We have 6 Bioinformatics (primary care) PhD Projects, Programmes & Scholarships

Bioinformatics (primary care) PhD Projects, Programmes & Scholarships

We have 6 Bioinformatics (primary care) PhD Projects, Programmes & Scholarships

Postgraduate Research Opportunities at the Faculty of Medicine and Dentistry

Health outcomes of children with rare or complex conditions and their families: a longitudinal cohort study using linked primary and secondary healthcare data in England

Using Big Data Approaches to Enhance Fluid Stewardship in Intensive Care Unit

BARIToNE: Deep Seeded: Improving barley for deeper sowing (Project code 24I)

BARIToNE: Deep Seeded: Improving barley for deeper sowing (Project code 24I)

Experimental and computational Cancer PhD: Overcoming osteosarcoma chemoresistance by characterizing and targeting cellular quiescence

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