40 parallel-computing-numerical-methods-"Prof" PhD scholarships at University of Nottingham
Sort by
Refine Your Search
-
methods including quantitative, qualitative and health economic approaches. Informal enquiries may be addressed to the Nottingham MHM programme lead for mood disorders and lead supervisor of this PhD: Dr
-
of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
-
into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
-
computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
-
to characterise the material behaviours of thin sheets and foils (tensile, shear and creep effects) to improve the forming process and optimise process variables. Experimental methods for testing mechanical
-
engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
-
4 year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function University of Nottingham, School of Medicine Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr
-
Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt
-
placements of up to a month in the partner institution’s laboratories. Supervisory Team: Prof. Derek Irvine, Dr Adam Dundas, Prof. Morgan Alexander Funding notes: The studentships are fully funded for 42
-
, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians