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experience with the acquisition and analysis of (clinical) MRI data, as well as with mathematical modelling, image processing methods and/or machine learning. Experience of methods used for quantitative MRI
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mathematical modelling, image processing methods and/or machine learning. Experience of methods used for quantitative MRI and/or previous hand-on experience implementing MRI pulse sequences are a plus. Ideally
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Machine Learning software, e.g., Python, Java, C++, Prolog, Javascript Proven ability to analyse and write up research results and handle related administrative duties Ability to develop multi-agent
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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