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Field
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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Analysis: Expertise in applying bioinformatics approaches to analyze complex datasets, including model fitting, statistical testing, and data visualization in R and/or Python. Ability to work closely with
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Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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programming language such as Python Participation in writing research proposals to attract funding in the subject Organizational skills Very good knowledge of the English language (spoken and written
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. Demonstrated fMRI expertise and solid statistics. Strong programming skills (MATLAB, Python, or R). Preferred (but not required) Experience with brain plasticity, multisensory processing or development
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spoken English. ADDITIONAL MERIT: Experience with farmer engagement and participatory research approaches. Experience with LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data
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proficiency in the Python programming language and some advanced functionalities, have proficiency in Portuguese (C2), and demonstrate knowledge and academic experience with work in the area of Natural
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the following software: Stata, R, Python, ArcGIS, and related software Strong, and relevant publication records will be advantageous Excellent verbal and written English; knowledge of Asian languages will be
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of technical support staff or students. Experience using Python based programming tools. Desired skills/knowledge: Ability to prepare periodic updates (written and oral) for internal and external reviews