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.) ● Strong computational background, including: o 2 years of experience in programming (e.g., Python, R, Julia, or similar); o Evidence of working with large-scale datasets (e.g., genomics, transcriptomics
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, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a sound understanding of data evaluation Prior experience with single-cell
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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with data acquisition and analysis using software such as MATLAB or Python. Excellent written and oral communication skills, with a proven track record of publishing research findings. Ability to work
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, programming (Python) and advanced data analysis methods Excellent oral and written communication skills in English Ability to communicate results clearly in presentations and in writing Self-motivated and well
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Enhance Software: Implement small code changes, features, or bug fixes to internal tools, backend services, and automation scripts. Assist with building and modifying Python-based logic for data processing
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but not limited to Stata and R. Produce summary statistics and conduct basic statistical analyses Writing scripts in python to automate processes and for webscraping Assist with data analysis and
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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or more programming languages or statistical packages (e.g. Python, R, SPSS, SAS, etc.) Familiarity with data sources such as ICPSR, Mergent, Roper, Social Explorer, World Development Indicators,Â
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such as XML and JSON. Experience with application programming interfaces such as SOAP and REST. Experience with core web technologies such as HTTP, HTML, and JavaScript. Experience with modern software