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Field
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference PHP-PHES-2025-10-R The supporting statement section should set out how your qualifications, experience
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surveys; · Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation); · One or more computational environments for statistical analysis (e.g., MATLAB, R
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, and machine learning. Expert skills with at least one data analysis environment (e.g., R, Stata or SAS). Skills in machine learning and programming proficiency in languages like JavaScript and Python
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environments, scripting/programming (e.g., Bash, Python, R), and genomic analysis pipelines is essential, along with hands-on experience working with large datasets and public repositories such as Genomics
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or related field At least one years of relevant experiences in technical hands-on experience in development of disease transmission models Good written and oral communication skills Proficiency in Python/R A
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large-scale microbiome or pathogen genomics datasets. They will be proficient in one or more programming languages (e.g., Python or R) and they will have knowledge of Linux/Unix, SQL, and high-performance
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to apply. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in working with Livestock data is an advantage. Can speak and
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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Sunday 11 January 2026 at 11.00pm AEST (Job Reference Number: R-58835).
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presentations. Experience using R or Python and with strong command of advanced statistical methods, computational modeling, and/or NLP methods, is an asset. More Information Location: Singapore Organization