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skills and a high level of competence in econometrics and machine learning are desired. Experience in economic experiments would also be desirable. Most of all, the successful candidate will have a great
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-domain radio astronomy with machine learning and scientific software development to build a new framework for analysing pulsar glitches. For this project, the post holder will have access to state
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, genomic sequencing, machine learning, and capacity development. Candidate profile The role is well-suited to individuals with expertise in population dynamics, quantitative disease ecology, infectious
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a focus on building and strengthening skills in artificial intelligence and machine learning for epidemiological research. The post is permanent and full-time 35 hours per week, 1.0 FTE. The salary