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September 2019

NLP Montreal 2019 Workshop (Mila, RALI, IVADO, CRM)

17 September - 18 September
Mila auditorium, 6650 Rue Saint-Urbain
Montréal, Canada
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20$

Description NLP Montreal 2019 is a workshop on natural language processing (NLP) and understanding, with the aim to facilitate interactions between our partners, students and faculty members. The intended audience is individuals who are already familiar with the subject of natural language processing. Organizers: Alain Tapp, Will Hamilton and Gabriel Prato Scientific program: Will Hamilton, Jackie Cheung, Philippe Langlais and Alain Tapp *Members of the scientific committee are still accepting proposals for short seminar-style talks (contact: prato.gab@gmail.com). Students are especially encouraged…

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IVADO Data Science Internship and Job Fair

30 September @ 09h00 - 16h00

Monday, September 30, 2019 from 9am to 4pm at Pavillons Lassonde at Polytechnique Montréal! Free event Description Since 2018, IVADO has organized its Data Science Internship and Job Fair twice a year to facilitate meetings between internship/job candidates and the data science ecosystem. For candidates, this day is an opportunity to meet representatives of various IVADO member companies and organizations and partners, and to learn about internship and employment opportunities in their areas of interest. For companies, it is a…

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October 2019

Toolkit for AI

11 October @ 08h00 - 17h00
Institut de recherches cliniques de Montréal (IRCM), 110 Avenue des Pins Auditorium Jacques Genest
Montréal, Québec H2W 1R7 Canada
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Summary With the democratization of omics technologies and the material to conduct high throughput experiments, life sciences laboratories and research institutes are generating more and more data. Organized in partnership with the Montréal Clinical Research Institute, the seminar is is your start-up kit to design and lead health research projects driven by data science, artificial intelligence and related techniques. It aims at life science researchers and students seeking new ways to exploit these data in order to advance in their…

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