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of a clinical sequencing platform. Primary Responsibilities: Use and develop analysis pipelines using in-house and third party tools or algorithms, and incorporate them into specialized analysis
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of predictive analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry
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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and
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prototypes. Signal Acquisition & Processing Develop acquisition pipelines to capture vascular motion during CPR. Implement signal‑processing algorithms to extract markers of blood flow. Model Development
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computed tomography and light microscopy. Lab background in developmental and evolutionary biology. Some knowledge of cell biology. Location: This position is located in Montreal, Quebec and the work
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experiments related to aerosol-cloud processes Analysis of data observation and modelling developed at McGill. Candidates must demonstrated experience in developing AI algorithms to significantly improve
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, Tableau, AWS QuickSight, IBM, Google, etc Technical Expertise in three or more of the following competencies AI & Machine Learning: Proficiency in ML algorithms, deep learning architectures, NLP, computer
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: Desautels Course Title and Course Number: Enterprise Data Science: Concepts and Algorithms INSY 674 Estimated Number of Positions: 2 Total Hours of Work per Term: 90 Position Summary: Grading and in person
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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/validate algorithms for medical images and perform data analysis using state-of-the-art software programming tools such as Python. They are also expected to write publications, liaise with collaborators