-
should have substantial research experience in machine learning, statistics and bioinformatics and will develop models for biological age prediction from multiple image derived phenotypes. Expert knowledge
-
clinical trials. The George Institute wishes to further develop its impact by focusing on efficient, patient-centered clinical trials. This is to be supported by the application of novel statistical and data
-
equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Direct experience developing and deploying
-
user of Excel and statistics packages such as SPSS. They will be proactive in their approach to work and will be able to work both independently and as a part of team to meet agreed targets and deadlines
-
in political science, economics, finance, statistics, data science, public policy or in a related discipline. You should be able to demonstrate an excellent knowledge of R and Python programming and
-
of a 3-year program using cardiovascular MRI to assess modifiable mechanisms of aging. Applicants should have an established track record of research in machine learning, statistics and bioinformatics
-
statistics in general at undergraduate. About the School/Department/Institute/Project The School is part of the Faculty of Science and Engineering, which comprises of five schools and two institutes
-
conclusions from these and they will be a highly experienced user of Excel and statistics packages such as SPSS. They will be proactive in their approach to work and will be able to work both independently and
-
, computer science, health informatics, psychology, statistics, or related disciplines) OR has substantial experience in data management for large research projects 2. Experience of successfully managing data
-
throughput sequencing, genomics techniques and R&D is essential. Knowledge of UK Health and Safety regulations and SOP preparation, as well as basic bioinformatics and statistics is expected. Experience