59 high-performance-computing-postdoc Fellowship positions at University of Nottingham in Uk
-
utilising a common primary signalling machinery (i.e. G proteins). The successful candidate will evaluate a panel of up to 12 different GPCRs using high-throughput, plate reader-based BRET and FRET assays
-
-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
-
also promote the work of the PHIRST programme as a whole via various means including presentations. Based at the University of Nottingham University Park Campus, this is a fixed term, part-time (0.6FTE
-
An opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive Technologies
-
A fantastic opportunity has arisen for a Research Associate/Fellow to join our new EPSRC-funded £7m programme - Sustainable Multi Sector Electrification Using Advanced Integrated Motor Drive
-
of the literature relating to ‘Blairism’ and to the study of legacy effects in policy analyses A high level of competency with time series modelling OR age-period- cohort modelling OR structural equation modelling A
-
. Additionally, a PIL A (cattle) licence is required to perform this role. The successful applicant will join a friendly, highly motivated and successful Ruminant Population Health research group with wide
-
within the centre; (vi) write scientific research papers to high standards and (vii) assist with the preparation of project proposals for industry and grant applications. The person appointed will have the
-
techniques, but if you are not sure that you fulfil every other criterion in the role profile, we encourage you to apply anyway. You will be able to carry out research of a high standard, and evidence how you
-
/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and