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Bangor University: Electrical Materials Science
| Institution | Bangor University View institution profile |
|---|---|
| Department | School of Computer Science and Engineering View department profile |
| Web | https://www.bangor.ac.uk |
| Study type | Research |
Summary
Research Areas in Electrical Materials Science with research interests in:
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Electronic and dielectric properties of weakly conducting materials
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Properties of metal, semiconductor and insulating surfaces
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Electrokinetic manipulation of bioparticles
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Lipid films in Langmuir monolayer and bilayer forms
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Metal dielectric and metal semiconductor interfaces
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Interaction of ultrasound with biological materials
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Hydrocarbon polymers Lab-on-a-chip
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Microfabrication
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Biological polymers, enzymes & cells
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Medical applications of ultrasound
Doctor of Philosophy - PhD
| Level | RQF Level 8 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
| Level | RQF Level 8 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
Master of Philosophy - MPhil
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good honours degree or equivalent is required. |
| Location | Bangor Campus Bangor Campus Bangor (Wales) LL57 2DG |
Welcome to the School of Computer Science and Engineering
Opportunities abound for students wishing to learn about the latest developments in computing and electronic technologies at Bangor University. We have a great reputation for helpful, caring staff who undertake world-leading research. We have around 400 undergraduate students and our graduate school boasts 200+ students across all our disciplines.
Research excellence
Our staff figure among the world leaders in a broad range of technologies, from Artificial Intelligence and Pattern Recognition to Data Visualisation; Medical Microwave Electronics and Medical Simulation; Optolectronics, Broadband and Optical Communications; Organic Electronics; Nanotechnology; Nuclear Engineering and more. …
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