46 high-performance-computing-postdoc Fellowship research jobs at University of Nottingham
Sort by
Refine Your Search
-
Applications are invited from highly motivated and enthusiastic candidate to the above role to investigate and perform research to disseminate findings on a ERC project “Unravelling the atypical
-
Applications are invited for the position of Senior Research Fellow/Research Fellow to contribute to an NIHR Programme grant study at the University of Nottingham. The successful candidate will work
-
data acquisition and interpretation are highly desirable. This is a collaborative project between the School of Pharmacy, The School of Computer Science, Physics and Astronomy, the School of Life
-
Biology Mission Hub! This is an exceptional opportunity to do exciting, high-impact research as part of the UK's flagship new initiative and large investment in transformative Engineering Biology. GlycoCell
-
recovery polymers at a lab scale, employing strategies such as emulsion polymerisation, high-throughput screening, microfluidic flow chemistry techniques, and purification methodologies. These methodologies
-
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
-
influence future developments and widespread use. In this capacity, the Research Fellow will be expected to prepare high-quality research outputs and grant proposals, including publications in leading
-
opportunity for an individual aiming to lead interdisciplinary, high-impact research through collaboration with leading researchers in the field. The successful candidate will be expected to meet regularly with
-
The Primary Care Education Unit (PCEU), Centre of Academic Primary Care at the University of Nottingham are looking to appoint a Research Fellow to become part of a programme of research within
-
experiments to quantify behaviour and performing field experiments. The role holder will also investigate the genomic basis of parental care loss using genomic analyses of QTL experiments and tissue-specific