48 phd-in-image-processing Fellowship positions at University of Birmingham in United-States
-
for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
-
regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods as
-
and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
-
materials chemistry research focussed on understanding and predicting novel wide band gap oxides, and in examining defects processes in these materials. Computational work will be performed in collaboration
-
for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
-
(microscopic or mechanical). The successful candidate will carry out research and manufacturing process evaluation to produce structural metallic materials. The applicant will work on a research project
-
Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management
-
the scope of the CRF one-year contract, individuals may also be supported to apply for PhD funding for a different role to commence at the end of the CRF contract. *This is a 1-year post to gain clinical
-
guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
-
the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous