[Corpora-List] NLP and deep learning against pandemics (postdoc @ Institut Pasteur)

benoit.crabbe at gmail.com benoit.crabbe at gmail.com
Wed Jan 26 20:16:59 CET 2022


NLP and deep learning against pandemics (2 year postdoc) Collaborative project "ComCorText"

Keywords: NLP, AI, deep learning, epidemiology, risk factors, outbreak detection.

Host lab: Imaging and Modeling Unit <https://research.pasteur.fr/en/team/imaging-and-modeling/>, Institut Pasteur <https://www.pasteur.fr/en>, Paris, France

Collaboration with the Epidemiology of Emerging Diseases Unit <https://research.pasteur.fr/en/team/epidemiology-of-emerging-diseases/> (Institut Pasteur) and Sanofi

The COVID-19 pandemic has abundantly illustrated the importance of quickly identifying the factors that increase or decrease pathogen transmission. An early understanding of the airborne nature of SARS-CoV-2 transmission, for example, could have helped slow down the pandemic and reduce its human burden. In this project, we will explore the potential of natural language processing (NLP) methods to automatically identify risk factors and protective factors by analyzing large corpora of unstructured text. This project takes advantage of the unique resource provided by the ComCor study, which contains free text descriptions of suspected circumstances of contamination from >50,000 individuals tested positive for COVID-19, totaling well over 500,000 words. The proposed project will mobilize state-of-the-art NLP techniques based on deep learning, such as contextualized word embeddings learned by transformer models (e.g. BERT). Methods developed in this project will be tested and validated primarily (but not exclusively) on the ComCor data set in collaboration with the Epidemiology of Emerging Disease Unit of A. Fontanet.

Once validated, we will also explore applications of these methods to other text data sets, including social media and data obtained in the framework of the AIOLOS project. AIOLOS is a French-German research program, that aims at supporting decision-making by integrating information from various sources to detect early signs of a new outbreak, monitor its spread and derive appropriate response measures. A total of 17 partners (5 main partners, including Sanofi and Fraunhofer and 12 associated partners, including Institut Pasteur) are involved in this project.

We are looking for a highly motivated and autonomous candidate with a solid background in NLP or related fields to lead this project.

Please send applications (motivation letter + CV with names of 2-3 references) to Ch. Zimmer (czimmer at pasteur.fr <mailto:czimmer at pasteur.fr>) and Tiffany Charmet (tiffany.charmet at pasteur.fr <mailto:tiffany.charmet at pasteur.fr>)

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>> open postdoc positions <https://sites.google.com/site/imagingandmodeling/positions>

Imaging and Modeling Unit <https://research.pasteur.fr/en/team/imaging-and-modeling/> Computational Biology Department <https://research.pasteur.fr/en/department/computational-biology/> Institut Pasteur <https://www.pasteur.fr/en> 25-28 rue du Docteur Roux 75015 Paris France

E-mail: czimmer at pasteur.fr <mailto:czimmer at pasteur.fr> Tel: +33 (0)1 40 61 38 91 Fax: +33 (0)1 40 61 33 30 Fedex: 118597605 -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 5704 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20220126/cf7282f8/attachment.txt>



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