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computational PhD Projects, Programmes & Scholarships
We have 693 computational PhD Projects, Programmes & Scholarships
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CoMoBio: Computational modelling of the formation of biofilm microbial systems
Biofilms are complex communities of bacteria that adhere to a surface, and they are the oldest form of life recorded on this planet. Read more
Next generation CFD (Computational Fluid Dynamics): A PhD position in driving the development of digital wind tunnels
This is a self-funded PhD opportunity within the field of Computational Fluid Dynamics (CFD) which aims to further develop Cranfield’s digital wind tunnel (DWT). Read more
Integrated computational materials engineering methodology development for customization of bone cement
Supervisors. Principal supervisor. Dr Engui Liu (XJTLU). Co-supervisor. Dr Weijian Han (JITRI). Co-supervisor. Dr Shiyao Huang (JITRI). Read more
Last chance to apply
Generating a computational model of dopaminergic networks and exploring the selective vulnerability of different neurons within this circuit to protein aggregates
This project is available through the MIBTP programme. The successful applicant will join the MIBTP cohort and will take part in all of the training offered by the programme. Read more
Toward Easy Parallel Programming for Computational Fluid Dynamics
Research Group:
School of Computing
Computational scientists are typically not expert programmers and thus have to work with easy to use programming languages. However, they have very high-performance requirements due to their experimental setup and large datasets and have to rely on parallel computing machines for tasks like simulation runs. Read more
PhD candidate (m/f/d) in Computational Biology
We are offering a position, available immediately, as a. PhD candidate (m/f/d) in Computational Biology. About us. The Schirmer lab is part of the ZIEL - Institute for Food & Health at the Technical University of Munich and located in Freising-Weihenstephan. Read more
Utilising data fields for model updating and validation in Computational Fluid Dynamics
This project will primarily be based at The University of Liverpool. GREEN CDT. Read more
Utilising data fields for model updating and validation in Computational Fluid Dynamics
This project will primarily be based at The University of Liverpool. GREEN CDT. Read more
iCASE PhD: Computational imaging and single-photon LiDAR for immersive situational awareness
Applications are sought for an. iCASE PhD studentship. to research new computational-imaging and sensing techniques for enhanced situational awareness. Read more
Computational efficiency and simplicity in predictive control for linear and non-linear systems
Predictive control (MPC) is by now a well-established methodology whereby one bases the design of the control law on the optimisation of system predictions. Read more
Next generation computational microscopy and imaging for real-world applications in the life sciences
For over a century, our understanding of the microscopic world has been built on imaging and microscopy. Read more
A computational multi-omics approach to kidney function and disease.
This project will utilise multiple layers of ‘omics’ data to identify the molecular ‘signatures’ of kidney function. The project will make full use of our unique collection of approximately 500 human kidney tissue samples. Read more
A multilevel computational framework for brain diseases
Research Group:
School of Computing
A large part of computational brain science is concerned with generating models of the brain that can help us understand its function. Read more
Mechanistic computational modelling of human glioblastoma metabolism
Glioblastoma is the most common and the most lethal malignant brain tumor. In vitro cell culture of glioma cells is essential for the discovery and development of novel anticancer treatments. Read more
Crystal structure prediction of imperfectly ordered materials
Supervisory Team. Prof. Graeme Day. Project description. A fully funded PhD studentship is available in the area of computational materials discovery, as part of a prestigious international Synergy grant funded by the European Research Council. Read more