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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
candidate is expected to teach can be found here: https://www.cs.utoronto.ca/~trebla/CSCB09-2025-Summer/ . The successful candidate must demonstrate thorough familiarity with the course material. Previous
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multiple 2D images and multiple channels, (d) optimizing 2D projection viewpoints (dose reduction and time savings), (e) applying artificial intelligence and traditional machine learning models to noise
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of postdoctoral training. Write scientific manuscripts describing research findings. Attend national and international meetings to present research findings, learn about the latest advances in the field, and
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University More Jobs from This Employer https://main.hercjobs.org/jobs/22002385/x5b-eoi-x5d-x5b-spring-2026-x5d-postdoctoral-associate-x7c-center-for-data-science Return to Search Results
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., Python, R) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence. The Postdoctoral Associate will meet with the PI at least
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in computational methods, particularly those with backgrounds in machine learning, artificial intelligence (AI), statistics, bioinformatics, or analysis-acceleration technologies. Candidates should
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an uncertain future. In the context of the twin transition – that is, the complex relationship between digitisation and the green transition – the focus of this postdoctoral position is the question
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and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab). Practical experience of algorithm development and implementation of machine learning
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Biology, Biology, Machine Learning, Statistics, Medicine, Physics, Chemistry, Engineering, Mathematics, Computer Science, or other related fields) coupled with direct experience in computational research
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Medical Immunology