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Field
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and Experience The candidate must have a doctoral degree in epidemiology, social and behavioral health sciences, or a related field hence a degree in a specific field of study. Proficiency in R and
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and programming experience (e.g., R or other languages) This one-year appointment is expected to be renewed for a second year based on satisfactory performance and continued funding. Research staff
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arising from those data sources and formulate modelling strategies on how to take into account for those Estimate small area models and produce maps after assessing modelling results Produce Open Source R
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and informatics skills are required, i.e., R, Python, MATLAB, deployment of web experiments (using cloud services). Being able to communicate fluently in English is a must. Your future tasks: As a new
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-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
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languages and in R is also required. • Application deadline: 1st August 2025 • Required experience: 2 - 8 years after PhD. • Duration of the contract: 36 months • Salary: Upon experience and according
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ocean biogeochemical data products related to BCP. Proficient in software used in data science (Phyton, R, Matlab, etc.). Effective oral and written communication skills. Proven ability in performing high
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(GAM) and statistical and geospatial software (R, ArcGIS, QGIS) is strongly preferred. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s
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modeling of mosquito-borne diseases as proven by peer reviewed publications. Demonstrably strong programming skills in R or Python. Experience with population biology, population genetics, or ecological and
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, population genetics, or ecological and epidemiological modeling, and 3) an interest in mosquitoes and/or mosquito-borne diseases. The candidate should have demonstrably strong programming skills in R or Python