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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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Mechatronics with a specialization in Physical AI. This role offers the opportunity to move beyond traditional design and directly integrate cutting-edge Artificial Intelligence algorithms into complex real
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summarizes data outputs to on how well various algorithms are performing. · Monitors analytical tools and troubleshoots common software or script errors as they arise. · Handles the daily
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with data processing, analysis, and workflow implementation under project guidance. Documentation: Produce and maintain technical documentation, including pipeline workflows, algorithms, QC procedures
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capabilities to localize and map their operational environment, in order to gain situational awareness. We have been working on vision-based semantic SLAM algorithms to imbue the log-loading machines with
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 21 days ago
, and approximation algorithms. The successful candidate will be expected to deliver a course similar to the outline presented here: https://www.utsc.utoronto.ca/~bretscher/c63/lectures.html
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 25 days ago
Date Posted: 03/09/2026 Req ID: 47259 Faculty/Division: UofT Mississauga Department: UTM: Biology Campus: University of Toronto Mississauga (UTM) Existing Vacancy: Yes Description: Minimum Qualifications The candidate must have a Ph.D. degree in Biology or related field. The decision on hiring...
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of technology infrastructure for data access requests and the documentation, storage, and re-use of algorithms and existing data; the development of data analytics and data collection and analysis infrastructure
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms