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maintains local and national data repositories. Generates routine reports, statistical summaries, and figures using SAS, R, or Python. Optional: contributes to wet lab tasks (e.g., tissue sectioning, IHC
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at least one statistical programming language, including R or Python. R is strongly preferred. • Excellent communication skills, both oral and written. • Ability to work both independently and in
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and computational methods using R or Python, while continuously enhancing technical proficiency through structured training. Develop, manage, and quality-check complex datasets from diverse sources
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or interests in programming languages such as R or Python. Independence to lead a project as well as willingness to work in a team. An open mind to learn new methods from other researchers and collaborators
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to estimate statistical relationships between risk factor exposure and health outcomes. • Create, test, and use relevant computer code (R and Python). • Maintain, modify, and execute analytic machinery
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of experience in a laboratory setting. Proficient in computational tools and programming languages such as Python, R, or Bash, as well as experience using Linux-based high-performance computing
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agricultural transformation and small-scale producers. Priority skills are proficiency with Stata, R and spatial mapping, and familiarity with the LSMS-ISA and other agricultural and spatial data in SSA and SA
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omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience working in Linux and/or high
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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. Qualifications Strong quantitative training, including coding skills in R and Python, and satellite imagery analysis. Good communication skills in English. Ph.D. or foreign equivalent in geography, remote sensing