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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
, including data manipulation, descriptive analytics, basic statistical analysis, and data visualization. Experience using common analytics tools and programming environments such as Python, R, Excel, SQL
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) Preparation of questionnaires and other data collection protocols visualization of geospatial data; d) Analysis of quantitative data; e) Participate in literature reviews; f) Participate in
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that reflects how biological brains learn through embodied experience. For more information, visit https://sarvestanilab.com/ As a Postdoctoral Scientist in the Gonzalez Lab, you will have the chance to bring
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& Experience: Bachelor’s degree in accounting or finance. ACCA or equivalent, CPA an advantage Technical Skills - Advanced Excel. - Financial Modeling - Data Analysis, Dashboarding & Visualization (e.g. Power BI
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of higher education in a related field Preferred Experience Advanced proficiency in Power BI, Tableau, or similar Data Management/Visualization tool The budgeted salary range is $96,740 Minimum to $110,000
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analysis, and/or digital twin. Experience with software data transport, database management, and/or data acquisition and management systems. Demonstrated ability to create technical documentation such as
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing ETL/ELT