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seek an ambitious and self-motivated postdoctoral researcher with a strong background in bioinformatics and/or computer sciences (or related fields). Experience with AI and Machine Learning models in
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practice impact while also learning about machine learning techniques. The successful applicant will work in the newly formed Health Equity Evidence Centre and innovative new centre that will generate data
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to scientific journals. The work will establish a high-content / high-throughput microscopy assay in zebrafish embryos enabled by machine learning, and would suit an individual with a background in AI-based
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health implementation in low-income and middle-income countries (LMICs). The post-holder will be developing prediction models using classical statistical methods, machine learning (ML), and Artificial
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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