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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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proficient in programming languages commonly used in genomics research (e.g. Python or R) and have experience in working with bioinformatics software. Good knowledge of English is necessary. The successful
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, Statistics, Epidemiology or related disciplines Experience in handling longitudinal and birth-cohort datasets Extensive experience in quantitative research (Stata, R, Python, etc.) Fluent in English (speaking
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of French, German and/or Dutch are considered an asset An advantage would be: Knowledge of at least one programming language, preferably Python Knowledge of machine learning Knowledge of current debates in
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work is an asset Experience in programming languages such as Python or R Autonomous worker with strong organizational and analytical skills Very good written and oral communication skills in English
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space or geophysics Advanced knowledge of numerical methods Python programming written/spoken English Ability to work in a team Knowledge of project management Where to apply Website https
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programming skills in R and/or Python thoroughness, autonomy, initiative, enthusiasm, curiosity Good writing skills Good level of English Ability to communicate and work as part of a team PhD in statistical
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for remote sensing data analysis.- Satellite image time series processing.- Oral and written communication in English and French. Savoir faire technique : - Working in Linux OS and HPC. - Advanced python
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management and territorial planning. - Proficiency in GIS tools (QGIS). - Strong knowledge of spatial modeling tools, software, and programming languages, particularly Python. - Language skills: Proficiency in