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computational PhD Projects, Programs & Scholarships

We have 627 computational PhD Projects, Programs & Scholarships

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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
University of Oxford Radcliffe Department of Medicine
  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.
Details
Type/Funding
  Computational Engineering: College of Engineering Centenary Scholarship: Bioheat transfer, transport and entropy in a human body. Full body computational modelling study.
Swansea University College of Engineering
  Prof P. Nithiarasu
Application Deadline: 31 January 2019
Subject area. Computational Engineering. Start date. April 2019 but flexible. Project description. A large scale human body model to study various forms of transport, including radiation (diagnostics) and bioheat transfer (entropy and ageing), is the primary aim of this project.
Details
Type/Funding
  (BBSRC DTP) Developing new computer-based technologies for designing protein kinase inhibitors by quantifying peptide-protein binding.
University of Manchester School of Chemistry
  Dr A Almond, Dr A Golovanov
Application Deadline: 31 January 2019
This PhD studentship will apply computational and mathematical techniques to one the most fundamental, important and complex of biological problems – that of protein-protein interactions.
Details
Type/Funding
  Modelling of physical phenomena in a software framework for Computational Fluid Dynamics Applications (MRes)
Cranfield University School of Aerospace, Transport and Manufacturing (SATM)
  Dr F Salvatore, Dr I Moulitsas
Applications accepted all year round
Applications are invited for a MRes position in the Centre for Computational Engineering Sciences, Cranfield University, in the field of scientific software development.
Details
Type/Funding
  Improving the diagnosis and treatment of peripheral artery disease using computational modelling
King’s College London School of Biomedical Engineering & Imaging Sciences
  Dr J Alastruey
Applications accepted all year round
1st Supervisor - Jordi Alastruey. 2nd Supervisor - Dr Ronak Rajani. Peripheral artery disease (PAD) is a common condition in which atherosclerotic lesions narrow lower-limb arteries, reducing blood flow to the legs.
Details
Type/Funding
  Is it an error or an innovation? Finding the boundaries between errors and innovations through an integrated neuroscientific and computational approach
Queen Mary University of London School of Biological & Chemical Sciences
  Dr C Di Bernardi Luft, Dr M Pearce
Application Deadline: 31 January 2019
Applications are invited for a fully funded PhD studentship in Psychology at the School of Biological and Chemical Sciences (SBCS) at Queen Mary, University of London.
Details
Type/Funding
  Computational Framework for Metal Forming of High Strength Alloys
Aberdeen University School of Engineering
  Dr Amir Siddiq, Dr M Kartal
Applications accepted all year round
Conventional sheet metal forming processes involve high cost and lead times because of design and manufacturing of product specific tooling for new materials and parts.
Details
Type/Funding
  Multiscale Computational Framework for Metal 3D Printing
Aberdeen University School of Engineering
  Dr Amir Siddiq, Dr M Kartal
Applications accepted all year round
Conventional manufacturing processes involve the cost of dies, cutting tools, and long lead times which are not suitable for short term manufacturing activities.
Details
Type/Funding
  Computational modelling of memory processing in sleep
Cardiff University Cardiff School of Psychology
  Research Group: Cognitive Neuroscience
  Prof P Lewis
Application Deadline: 17 March 2019
How does the brain store memories? Various computational models exist to explain this, but none of these incorporate sleep.
Details
Type/Funding
  Tailored Scale-Bridging Approaches to Computational Nanoscience (DFG RTG 2450)
Karlsruhe Institute of Technology Institute of Physical Chemistry
  Prof M Elstner, Mrs S Holthoff
Application Deadline: 31 October 2019
The newly founded graduate school ‘Tailored Scale-Bridging Approaches to Computational Nanoscience’ (DFG RTG 2450) addresses the development and application of multi-scale approaches to the scientific challenges of friction, materials aging, material design and biological function.
Details
Type/Funding
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