-
excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data
-
own area that those with protected characteristics are treated equally and fairly Desirable: PhD (or near to completion) or equivalent industrial experience in relevant technology area e.g. water
-
embedded within a diverse and interdisciplinary research environment comprising experienced scientists in toxicology and human health, analytical chemistry, software engineering, statistics, and
-
to Tackle Modern Slavery’, led by Dr Rowland Seymour. The successful candidate will join a diverse and friendly research group with PhD students and a Research Software Engineer. The goal of the project is to