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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
YOU MUST APPLY TO THIS POSTING AT THIS APPLICATION SITE ONLY : https://www.utsc.utoronto.ca/webapps/cupehiring/dept/cms/app/sl If you have any issues applying, please contact Kelly Squier
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, mathematical, and financial modeling skills to research tasks and analytical deliverables. Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets. Prepare and deliver
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teams. - 20% Python Scripting: Uses Python to integrate, transform, and manipulate data from multiple internal and external data sources in support of analytics and reporting initiatives. Develops and
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with the microfluidic live-cell imaging platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software (Co-)Supervise student projects at BSc
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the French project BIBLISSIMA+ (https://projet.biblissima.fr ), and the ERC Synergy MIDRASH (https://www.midrash.eu ). The eScriptorium project itself involves North American and European teams and aims
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- Conocimientos de diseño CAD (FUSION360) - Conocimientos de Python - Conocimientos sobre uso y entrenamiento de redes neuronales Specific Requirements - Bachiller - Experiencia en uso de entornos UNIX
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Key Responsibilities: Assist in computationally
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Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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, Python, Perl, C, C++; Basic web development using technologies such as HTML5, CSS, PHP, Python. Email to a Friend https://unmc.peopleadmin.com/postings/95721
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related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine