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Cancer / Oncology PhD Projects, Programs & Scholarships in Oxford

We have 17 Cancer / Oncology PhD Projects, Programs & Scholarships in Oxford

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  EPSRC Centre for Doctoral Training in Sustainable Approaches to Biomedical Science: Responsible and Reproducible Research - SABS
Good degree in the Physical or Life Sciences? Interested in biological or medical research? We offer fully-funded PhD places across the Oxford Doctoral Training Centre programmes.
  Normal and Leukaemic Haemopoiesis: Understanding the fundamental biological processes underlying normal and malignant haematopoiesis and translate this to improve patient outcomes through new rational therapies.
  Dr P Vyas, Prof Claus Nerlov, Prof I Roberts
Application Deadline: 26 July 2019
Understanding the fundamental biological processes underlying normal and malignant haematopoiesis and translate this to improve patient outcomes through new rational therapies.
  Academic Endocrine Unit: investigating the molecular basis of endocrine and metabolic disorders that principally affect calcium and phosphate homeostasis.
  Prof R Thakker, Dr K Lines, Dr M Stevenson, Dr K Kooblall
Application Deadline: 26 July 2019
Other Potential Supervisors. Dr Asha Bayliss. The Academic Endocrine Unit investigates the molecular basis of endocrine and metabolic disorders that principally affect calcium and phosphate homeostasis.
  Integrative Computational Biology and Machine Learning: Combining computational biology, computational chemistry, and machine learning techniques with biological big data to unravel the higher genomic code of life
  Dr A Sahakyan, Prof P McHugh
Application Deadline: 26 July 2019
In the Sahakyan Group, we strive to make computational biology maximally independent from empirical experimental data, by basing our models and predictions on genomic sequences and core biological mechanisms.
  Quantitative biology of cell fate and tissue dynamics: Modelling stem cell fate and alterations due to mutations
  Dr E Morrissey
Application Deadline: 26 July 2019
The group uses a combination of deep learning, stochastic models and Bayesian modelling to study questions relating to stem cell fate dynamics and how mutations in stem cells alter their normal behaviour, become fixed and accumulate in the tissue eventually leading to cancer.
  Genomics, gene regulation and disease: How human genome variation affects gene expression
  Prof T Milne, Assoc Prof J Hughes, Dr D Waithe
Application Deadline: 26 July 2019
Epigenetics is often described as mechanisms that maintain gene expression profiles through multiple cell divisions long after the initiating signal has been lost.
  DNA Damage and Repair: Studying DNA damage and repair to understand the causes of cancer and improve its treatment
  Prof P McHugh, Prof J Rehwinkel, Prof A Harris
Application Deadline: 26 July 2019
Our DNA is constantly under threat from damaging agents. If unrepaired this DNA damage can lead to errors during genome duplication, including the mutations that can lead to cancer and other human diseases.
  Machine Learning and Integrative Approaches in Immunology: Developing machine-learning and mathematical models to understand heterogeneity of response to personalised cancer immunotherapy
  Dr H Koohy, Prof V Cerundolo, Prof T Dong, Prof A Simmons
Application Deadline: 26 July 2019
Cancer immunology is an area of cancer research that is gaining tremendous momentum. However, responses to immunotherapy are heterogeneous and patient care could be substantially improved by better understanding of how and why responses to immunotherapeutic approaches vary in different patients.
  Tumour microenvironment and colorectal cancer development: understanding the mechanisms of the tumour growth
  Prof D Kerr, Dr S Cai
Application Deadline: 26 July 2019
Our group has conducted a series of international adjuvant trials of chemotherapy for colorectal cancer (Kerr RS. et al, (2016), Lancet Oncol, 17, 1543 – 1557).
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