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Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

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Analytical and performance cookies

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The following types of cookies may be used on our websites:

Mandatory cookies

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Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Theses & Post-Docs

Theses in progress: 

  • Aubineau Thomas. Influence of feeding lines in dairy cows on hypocalcaemia and energy disorders around the part and in connection with the occurrence of infectious diseases in the first weeks postpartum..
  • Constancis Caroline: Technical and health benefits of new ways of driving dairy heifers with adults in organic farming: from the farmers' point of view to the quantification of the effects on the health of heifers.
  • Daveu Romain. Role of Midichloria mitochondrii, an endosymbiotic bacterium of the tick Ixodes ricinus, in the development of its host.
  • Niki Hayatgheib. Evaluation of the efficacy and safety of alternatives to antibiotics in the fish farming industry: towards a reduction in the development and spread of antibiotic-resistant bacteria in fish, their environment and in fish farmers? 
  • Lehébel Anne. State-space dynamic models for emergence detection in epidemiology. University of Rennes 1 (Doctoral School MATISSE).
    • PhD supervisor : D. Causeur
  • Saade Georges. Co-infections of porcine respiratory cells and tissues with influenza A and porcine respiratory and dysgenic syndrome virus. Oniris Nantes (Doctoral School Biologie Santé)
  • Sicard Vianney. Couplings between agents, environments and levels of organization in mechanistic models in epidemiology. Application to the modeling of porcine dysgenic and respiratory syndrome.

Post-Docs in progress: