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group of Dr. Mario dos Reis, as part of a BBSRC project on development of Bayesian methods to analyse large genomic datasets. We seek a highly motivated individual with relevant background in statistics
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a high level of proficiency with computer software related to laboratory research, data presentation and statistical evaluation, as well as the ability to organise a varied workload between research
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packages. Skills that will be very useful for the project include GIS, statistical analysis, experience in atmospheric modelling techniques (such as Gaussian or Lagrangian plume modelling) and coding
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of outputs for journal submission. The successful candidate will possess as many as possible of the following: PhD in relevant subject area: economics, computer science, mathematics / statistics, psychology