56 computational-physics-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" PhD positions at University of Nottingham
Sort by
Refine Your Search
-
Experience in sustainable architecture or building physics A strong interest in retrofit research Confidence in using quantitative methods, including environmental monitoring and performance evaluation
-
centre for the development of medical imaging, particularly MRI. Eligibility You must be a university graduate or expecting to graduate with a 1st class degree in engineering, physics, computer
-
(particularly cognitive or applied psychology) Cognitive Science Human–Computer Interaction Engineering or Computer Science Health sciences Experience in empirical research, experimental design, data analysis
-
appraisal, to ensure that design choices do not undermine the sustainability imperatives driving the transition to green-fuel propulsion in the first place. Research Aims This PhD programme addresses
-
for Additive Manufacturing research group (CfAM). The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics
-
competitive process. (this will cover home tuition fees and UKRI stipend). The University actively supports equality, diversity and inclusion and encourages applications from all sections of society The Faculty
-
the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
-
non-conventional electrophysical and laser-based manufacturing processes for the restoration and remanufacturing of aerospace gas turbine components. The project will: Investigate fundamental process
-
the future of energy for homes in the UK. Aim You will have the opportunity develop an innovative EMS design solves existing challenges. This new architecture will reduce costs, minimise physical footprint
-
-motivated candidate with a 1st or high 2:1 degree in Engineering or Physical Sciences or a related science discipline. Prior experience in thin-film deposition, microscopy, spectroscopy, electronics