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Data Analysis PhD Projects, Programs & Scholarships in Oxford

We have 14 Data Analysis PhD Projects, Programs & Scholarships in Oxford

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  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.
  Myocardial functional T1 mapping – Advanced cardiac magnetic resonance imaging techniques: improving and standardization of quantitative CMR approaches to support better healthcare
  Prof S Piechnik, Prof V Ferreira, Prof S Neubauer, Dr Q Zhang
Application Deadline: 26 July 2019
Other Potential Supervisors. Konrad Werys. OCMR has an international reputation for cardiac MRI (CMR) research on all aspects from acquisition biophysics to clinical applications.
  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.
  Genetics and Genomics of Type 2 Diabetes: using human genetics to drive a mechanistic understanding of type 2 diabetes and to identify novel translational opportunities
  Prof M I McCarthy, Dr A Gloyn
Application Deadline: 26 July 2019
We focus on the use of human genetics to drive a mechanistic understanding of type 2 diabetes, and to identify novel translational opportunities.
  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).
  Statistical Genetics: Novel statistical method development for discovery and interpretation of genetic contribution to human cardiovascular and haematological traits
  Dr V Iotchkova
Application Deadline: 26 July 2019
Genetic and epidemiological research has generated a vast amount of data and expertise for evaluating the genetic contribution to human traits in health and disease.
  Genomics, gene regulation and disease: how mammalian genes are regulated and how their deregulation is linked with human disease
  Assoc Prof J Hughes, Prof T Milne
Application Deadline: 26 July 2019
The Hughes group is interested in how mammalian genes are regulated and how their deregulation is linked with human disease. The ~22 thousand genes in the mammalian genome are present in the DNA of every cell but are used in complex patterns in different cell types and organs.
  Molecular nano-immunology and optical microscopy: the application and development of ultra-sensitive, live-cell fluorescence microscopy techniques with a spatial resolution down to the molecular level
  Prof C Eggeling
Application Deadline: 26 July 2019
The Nano-Immunology group is based in the Human Immunology Unit at the MRC WIMM. The Group is headed by Prof Christian Eggeling, an expert in fluorescence microscopy and especially in the development and application of super-resolution fluorescence (STED) microscopy with a long-standing record in this field.
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