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/ NiFi/ Knime, Programming in Python and SQL. Experience with version control systems (Git, CI/CD); Java/Scala is a plus. Familiarity with containerisation and orchestration like Docker and Kubernetes
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++, Python or Java is desirable Excellent verbal and written communication skills. The working language of the laboratory is English. Experience in communicating research findings to a non-specialist audience
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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
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skills in C/C++ and Python Relevant experience in deep reinforcement learning A proactive attitude towards achieving research excellence Demonstrated commitment, teamwork abilities, and critical thinking
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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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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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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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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