Sort by
Refine Your Search
-
. The postholder will work in collaboration with relevant College staff through the data requirements gathering and input phase to inform the efficient scheduling and space allocation of teaching events in
-
Responsibilities 1. The Associate must bridge AWTG's technology experience with specialised educational Large Language Models (LLM) knowledge. During Stage 1, the Associate will need to develop an initial LLM
-
data manipulation. 8. To actively plan and prioritise work activities, assigning as appropriate routine tasks to others, to ensure operational efficiency. 9. Collaborate with colleagues and participate
-
of overnight stays or travel costs to visit the Gilmorehill Campus in Glasgow and the successful candidate will need to be based in the UK for the duration of the contract. For more information about POLART
-
communication skills with the confidence to deliver clear instructions to large groups of students and to brief and guide invigilation teams. C4 Good people skills, able to work collaboratively with colleagues
-
protocols as required. 6. Record, analyse, and interpret scientific data using standard procedures and ensure that accurate records are kept, and databases are updated accordingly. Present findings accurately
-
evaluate improvements to existing protocols as required. 6. Record, analyse and interpret scientific data using standard procedures and ensure that accurate records are kept and databases are updated
-
through personal development and progression in a similar related role(s) E2 Experience of working with and handling large volumes of administrative data, records and information E3 Experience of handling
-
required. 7. Record, analyse and interpret scientific data using standard procedures and ensure that accurate records are kept, and databases are updated accordingly. Present findings accurately. This may
-
Experience of ensuring that delivery of administrative support complies with organisational policies, procedures and timescales. E4 Experience of working with and handling large volumes of administrative data