Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
-
provides a fantastic student experience. Our estate is large and varied covering 672 acres, with over 200 buildings of different ages, complexities, physical condition and use - ranging from grade 1 and 2
-
Contribute to the creation of a large database on historical banknote users Collect and summarise relevant background information about monetary and financial history in modern Britain between 1690s and 1920s
-
Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. The researcher will work with Dr. Martin Widmann, Dr. Ruth Geen and Prof. Gregor
-
, analyse and interpret large and complex data sets, drawing up reports and/or identifying required actions as appropriate. Support the development of systems and procedures to assist in the day to day
-
large volumes of complex data, with an ability to present data in a clear and effective format to a range of audiences Ability to manage a high volume of emails and front-line wellbeing queries in a
-
outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new
-
Student Experience Officer - School of Languages, Cultures, Art History and Music - 106144 - Grade 6
to prioritise workloads to meet deadlines Ability to manage large volumes of data and where appropriate manipulate and concatenate this data with other sources to identify trends and patterns. Understanding
-
require initiative and an independent risk assessment, whilst also applying the relevant escalation processes. A large part of the role entails interacting with students, listening to their concerns and
-
after 12 months service. Apprentice Grade 6 Full Time / Fixed Term for 19 Months Apprenticeship Standard: Data Analyst – Level 4 Training Provider: QA Closing date: 20 July 2025 - please upload a CV with