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computational PhD Projects, Programs & Scholarships

We have 460 computational PhD Projects, Programs & Scholarships

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  Computational Modelling of Biological Visual Processing Utilising MEA Electrode Arrays
  Prof TM McGinnity
Applications accepted all year round

Funding Type

PhD Type

Over 60 million people worldwide are blind and this number is rising as the global population ages. There are a number of major eye diseases, many of them associated with the retina and in addition many chronic diseases have manifestations in the eye.
  Theoretical and computational methods for sensory biology
  Prof IS Solov'yov
Application Deadline: 1 November 2019

Funding Type

PhD Type

The overall goal of this research project is to advance computational modelling techniques such as the molecular dynamics (MD) or free energy perturbation approaches to permit computational studies of biological macromolecules and molecular assemblies that are central to the molecular basis of many sensory processes (including vision, hearing, magnetoreception).
  Intelligent Computational Methods for Advanced Composites
  Dr Z Sharif Khodaei, Prof M.H. Aliabadi
Applications accepted all year round

Funding Type

PhD Type

The structural integrity group in the Aeronautics department (http://www.imperial.ac.uk/structural-integrity-health-monitoring/) is dedicated to improving integrity of engineering components and structures used in aerospace and other safety-critical industries.
  Applied computational electromagnetics for transport, medical, and electronic systems
  Research Group: Communication Technologies
  Dr J Dawson
Applications accepted all year round

Funding Type

PhD Type

In the Applied electromagnetics and devices laboratory of the Communication Technologies research group we are working on solving problems related to the prevention and control of electromagnetic interference.
  Computational Framework for Metal Forming of High Strength Alloys
  Dr Amir Siddiq, Dr M Kartal
Applications accepted all year round

Funding Type

PhD Type

Conventional metal forming processes involve high cost and lead times because of design and manufacturing of product specific tooling for new materials and parts.
  Tailored Scale-Bridging Approaches to Computational Nanoscience (DFG RTG 2450)
  Prof M Elstner, Mrs S Holthoff
Application Deadline: 31 October 2019

Funding Type

PhD Type

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.
  PhD position on dynamic modelling of animal behaviours using machine learning, intelligent sensors and computational ethology
  Dr T Norton
Applications accepted all year round

Funding Type

PhD Type

The laboratory of Measure, Model, Manage Bio-Responses (M3-BIORES) is a world-leading research laboratory focussing on real-time monitoring and management of animal behaviours.
  Computational Biomedical Imaging: building a better light-sheet microscope
  Dr J Taylor, Prof A Harvey
Applications accepted all year round

Funding Type

PhD Type

A PhD studentship is available in the Imaging Concepts Group at Glasgow University, researching computational imaging for light sheet fluorescence microscopy (LSFM).
  Developing and applying computational methods to understand the genetics of ageing
  Dr JP de Magalhaes
Applications accepted all year round

Funding Type

PhD Type

Ageing is the chief biomedical challenge of the 21st century, yet it remains a major puzzle of biology. Although it is clear that the process of ageing has a strong genetic component, much work remains to elucidate how the genome regulates ageing.
  Computational modelling of protein dynamics in heart disease
  Dr A Fornili
Applications accepted all year round

Funding Type

PhD Type

Applications are invited from self-funded candidates interested in completing a PhD starting in October 2019 in the group of Dr Arianna Fornili (https://afornililab.wordpress.com) in the School of Biological and Chemical Sciences at Queen Mary University of London.
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