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Field
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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse
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. This includes: • Developing targeted campaigns that highlight faculty research, student success, and innovative programs—key metrics in ranking algorithms such as U.S. News & World Report, QS World University
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experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research techniques and protocols
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Scalable Inference: Develop new algorithms for scalable uncertainty quantification (UQ) and Bayesian inference and apply them to challenging simulation problems. The goal is to produce robust, validated
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to implement the Data Strategy, develops and implements standard programming practices while also ensuring that they are employed across a study or program. What You’ll Do Leads, coordinates and manages timely
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of developing algorithms that are both technically robust and clinically relevant, ensuring that these innovations can be integrated seamlessly into existing imaging systems and workflows. Collaborating with
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applications across a wide range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and
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include: five courses (or equivalent curricular load) per academic year; senior project advising; student advising; and participation in Data Analytics curriculum development activities which include
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and software. In addition, they will work on algorithm development, optimization, programming, and computer science research. Hourly Salary Range: $37.60 – $78.35 JOB QUALIFICATIONS Qualifications All
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources