11 computational-physics-"https:"-"https:"-"https:" PhD positions at University of Plymouth
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Generative AI applications continue to expand, optimizing computational efficiency is becoming increasingly critical, particularly for AI in resource-constrained environments or at the edge. To address
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energy research, combining laboratory experimentation, computational modelling, and data analysis. Experimental work will be carried out in the world class COAST laboratory, examining floating offshore
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Engineering, Biomedical Engineering, Physics/Medical Physics, Materials Science/Engineering, Chemical Engineering, Data Science/Signal Processing, Biomedical Science, Biological/Human/Life Sciences, etc.) and
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). To apply for this position please click on the Apply button above. Please see here for a list of supporting documents to upload with your application. For more information on the admissions process
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admissions process generally, please contact research.degree.admissions@plymouth.ac.uk The closing date for applications is 12 noon on 24 April 2026. Shortlisted candidates will be invited for interview
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click on the Apply button above. Please see here for a list of supporting documents to upload with your application. For more information on the admissions process generally, please contact
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admissions process generally, please contact research.degree.admissions@plymouth.ac.uk The closing date for applications is 12 noon on 24 April 2026. Shortlisted candidates will be invited for interview
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vegetation-enhanced performance will have significant application. Working in the University’s world class COAST Laboratory, you will develop and validate physical modelling techniques to represent vegetation
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on brain cancer cells. Cancer cell microtubules have large electric dipole moments and are influenced by a process in which an electric field can affect the way in which the dipoles organize themselves in
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techniques from multiple fields spanning materials science, condensed matter physics, electronics and biochemistry. It includes Co-Supervisors with expertise across Graphene and 2D Material production, device