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environments. • Write and execute code in R, Python, GitHub etc., high-performance computing. • Evidence of ability to publish research results in international peer-reviewed journals. • Ability to organize and
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including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance computing. • Strong oral and written communication skills in English. • Ability to work
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(epifluorescence, etc.) Preferred Skills: • Interest in parasitology • Biochemistry (recombinant protein expression, immunoprecipitations, proteomics, etc.) • Bioinformatics (R, etc.) The candidate must have a PhD
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Proficiency in statistical software (R or SAS required; Mplus is an asset) Critical thinking and adaptability in an interdisciplinary environment Ability to work independently and in collaboration within a
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and/or R languages • Proficiency in GIS software • Strong skills in remote sensing data processing (Lidar, satellite, drone) • Interest in agricultural and hydrological sciences
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must have skills in sequence data analysis using bioinformatics (e.g., using Python, R or any suited programing language). These skills must be attested by the contribution to at least one publication in
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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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for modelling infectious diseases epidemics. Kraemer et al, Nature 2025 New R package to easily reconstruct the history of pathogen circulation from age-stratified data. Hoze et al, PLoS Comp Biol, 2025 Using
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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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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning