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), Researching, Results Reporting, Rodents, R Programming, Scientific Writing Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation
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related discipline involving the interrogation of ‘omics’ datasets, or expected to obtain a degree in the near future. Solid skills in at least one programming language (R, python, or Perl) and experience
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, Researching, Results Reporting, R Statistics, Scientific Writing Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation If you are
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large remote sensing datasets (e.g., Landsat, Sentinel-2, MODIS) and spatial datasets (e.g., FACTs, FTEM, field data) both locally with R/Python and via Google Earth Engine for wild-treatment outcome
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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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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. 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
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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