Postgrad LIVE! Study Fairs

Birmingham | Edinburgh | Liverpool | Sheffield | Southampton | Bristol

University of Birmingham Featured PhD Programmes
Imperial College London Featured PhD Programmes
University of Edinburgh Featured PhD Programmes
University of Kent Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes
10 miles

University of Oxford Computer Science & IT PhD Projects, Programs & Scholarships

We have 13 University of Oxford Computer Science & IT PhD Projects, Programs & Scholarships

  • Computer Science & IT×
  • University of Oxford×
  • clear all
Order by 
Showing 1 to 10 of 13
  Oxford Interdisciplinary Bioscience Doctoral Training Partnership
4 Year DPhil/PhD - Oxford Interdisciplinary Bioscience Doctoral Training Partnership. Candidates are invited to apply to the Oxford Interdisciplinary Bioscience Doctoral Training Partnership (DTP) programme.
  Graduate Studentship in Theoretical/Computational Chemistry: calculations of the spin dynamics and magnetic sensitivity of cryptochromes and related compounds
  Prof P Hore
Application Deadline: 25 January 2019
Ref. PJH/ERC/Theo/2019. Applications are invited for a DPhil studentship in Theoretical/Computational Chemistry available from 1st April 2019, to work with Professors Peter Hore and David Manolopoulos.
  Research Studentship in Wind Farm Modelling: reducing the cost of future large wind farms through the development of new wind farm flow interaction models.
  Prof R Wilden, Dr C Vogel
Application Deadline: 25 January 2019
3.5-year D.Phil studentship, available from E.ON and The University of Oxford. This studentship is a collaboration between the University of Oxford (Department of Engineering Science) and E.ON (Climate and Renewables).
  Development of image-based method for the quantitative assessment of cartilage damage from CT images as a biomarker in osteoarthritis
  Dr NH Lim, Dr B Papiez
Application Deadline: 11 January 2019
A major hurdle in the development of disease modifying osteoarthritis (OA) drugs is that there is no robust quantitative biomarker for the disease.
  Gene Regulatory Networks in Development and Disease: Focusing on systems level “big picture” approaches to understand gene regulation and build gene regulatory networks during development and disease in zebrafish, chick, lamprey and human models.
  Dr T Sauka-Spengler
Application Deadline: 11 January 2019
Focusing on systems level “big picture” approaches to understand gene regulation and build gene regulatory networks during development and disease in zebrafish, chick, lamprey and human models.
  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: 11 January 2019
We focus on the use of human genetics to drive a mechanistic understanding of type 2 diabetes, and to identify novel translational opportunities.
  Genomics, gene regulation and disease: How human genome variation affects gene expression
  Prof T Milne, Assoc Prof J Hughes, Dr D Waithe
Application Deadline: 11 January 2019
Epigenetics is often described as mechanisms that maintain gene expression profiles through multiple cell divisions long after the initiating signal has been lost.
  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: 11 January 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.
  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: 11 January 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.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2018
All rights reserved.