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Field
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interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or 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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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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(Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected, an
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with anxiety and depression. The post-holder will need to have strong programming skills (e.g. Python, R) and will take the lead on analysing physiological data and writing up studies for publication
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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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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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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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bioinformatics pipelines in Python for the analysis of genomics and large-scale omics datasets. Work within a collaborative team with regular scientific presentations and discussions. Work Plan - Development
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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