-
, regulatory and data protection requirements in the delivery of clinical trials data statistical analysis and reporting functions. B2 An awarded PhD in statistics, statistics and mathematics, or biostatistics
-
Credit and Qualification Framework level 12 (PhD) in computer science, statistics, mathematics, quantitative social science, or equivalent in professional qualifications and experience with evidence of
-
needs (internal and external) including activity reports and statistical data on the use of and outputs from (e.g. publications and grants) the SRF. • Provide specialist knowledge and expertise
-
level 12 (PhD) in Neuroscience, Psychology or other related subject, or alternatively possess the equivalent in professional qualifications and experience, with experience of personal development in a
-
/Qualifications Essential A1 Scottish Credit and Qualification Framework level 12 (PhD) in quantitative social science, computer science, statistics or a related field, or equivalent in professional qualifications
-
) – RCVS diploma. Desirable: B1 Masters, PhD (or other evidence of research training). B2 Fellowship of the Higher Education Academy. Skills Essential: C1 Expertise across the field, corresponding
-
& Knowledge Discovery • Graph Mining, • Knowledge Graphs, • Knowledge Representation & Reasoning, • Distributed Knowledge Bases and Databases, • Statistical Databases
-
knowledge and skills in a similar or number of different roles For appointment at Grade 7: A2 A PhD or equivalent qualification/experience in statistics, machine learning or data analysis. Desirable B1
-
equivalent. A2 PhD in a relevant subject or a cognate discipline, or working towards one using quantitative methods A3 Professional teaching qualification or working towards one. A4 Specialist knowledge
-
documentation and ensuring all necessary permissions are in place for research projects to proceed. 4. Clean and manage research datasets to ensure they are suitable for analysis; and conduct statistical