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administrative tasks. Qualifications: Organized. Reliable. Detailed oriented. Flexible with schedule. Education/Experience: MSc in Biology or Computer Science. Experience coding in Python. Experience with image
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, Python, and Microsoft Word and Excel. Preferences will be given to those with web/data scrapping experiences and/or those with prior experiences with financial research databases such as CRSP, Compustat
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team. Education/Experience: Experience working in a lab with live animals, at least 4 years. Experience with electrophysiology. Solid foundation in programming (Matlab, Python). MSc Degree. Location
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multichannel pipettes and 96 well reaction plates). Computer literacy and proficiency (Microsoft Word and Excel required, basic datasheet manipulation with R or Python preferred). Ability to communicate
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environment is an asset. Computer experience with word processing (MS Word), spreadsheets (MS Excel), eLabs, Snapgene, Graphpad Prism, BioRender, or programming (python) is an asset. Skills Ability to maintain
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, SketchUp and Visual Novel (3D rendering and visual storytelling), Python, Optical Character Recognition (OCR), Natural Language Processing (NLP), and AntConc. Candidates with expertise in the latest
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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., instrumental variables, propensity score matching, and treatment effects). Familiarity with one or more statistical software packages (e.g., R, Stata, Python) for data analysis. Research Aptitude: Demonstrated