Sort by
Refine Your Search
-
annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
-
members benefit from the shared knowledge and expertise of the group, with support of an established network of existing of Public Involvement colleagues within the College. Staff also have strong working
-
you will be required to analyse problems, identifying the cause and using your judgement to restore function in line with University C&IT standards. You will need to be able to communicate complex IT
-
for the job, although existing specialisms, implementations and knowledge is also a factor. The specialist systems owned by the team include complex, scalable architectures based on Linux and cloud technologies
-
expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
-
to ensure that teams work together to effectively deliver on plans and projects. To establish effective network contacts with similar roles across other Schools, Colleges and external to University
-
diversification of the College portfolio, encouraging a “future-facing” outlook. The post holder will promote the art of the possible in digital education through the development of external networks that identify
-
to writing of journal articles and conference presentations Operate within area of specialism and collaborate with a wider interdisciplinary research team Participate in wider networks, including the Adult
-
preferred. Significant, high level experience of developing successful interventions to address complex Health and Safety issues. Substantial proven experience of operational processes including instruments
-
efficient working. Any other duties commensurate with the grade. Required Knowledge, Skills, Qualifications, Experience Experience of developing effective networks and strong relationships in a complex