-
application of analytical pipelines to data generated by the WaSPP network. What you would be doing This is a three-year post that would suit a biologist or mathematician (or similar) with research experience
-
support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
-
. By combining advanced AI recognition with live inventory monitoring, FabricFlow addresses long-standing inefficiencies in supply chains caused by manual processes, disconnected data, and lack
-
in neurodevelopment. This role will focus on data analysis and methods development to develop a better understanding of the mechanisms underpinning typical and altered neurodevelopment, brain structure
-
in neurodevelopment. This role will focus on data analysis and methods development to develop a better understanding of the mechanisms underpinning typical and altered neurodevelopment, brain structure
-
experiments, developing and running bespoke NMR experiments, collating data/recording the results, undertaking analysis and conducting literature analysis as appropriate. The post holder will help to prepare
-
the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
-
the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and
-
has unparalleled expertise in basic, translational and clinical research in: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and
-
performing experiments using human cells, murine tissues and/or cell lines. You must have previous experience on handling scientific data, data analysis and statistics. Must have excellent interpersonal