AGEDISS Partner

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AGEDISS Partner

4 allee Gustave Eiffel

10100 Romilly-sur-Seine

How to get there

MONDAY :

08:30 13:30

- -

12:30 18:30

TUESDAY :

08:30 13:30

- -

12:30 18:30

WEDNESDAY :

08:30 13:30

- -

12:30 18:30

THURSDAY :

08:30 13:30

- -

12:30 18:30

FRIDAY :

08:30 13:30

- -

12:30 18:30

SATURDAY :

Closed

SUNDAY :

Closed

Agediss by JP

A propos d'Agediss by JP

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Aperçu de la politique de confidentialité

When browsing our website, data may be stored in your browser or downloaded from it in the form of cookies. This data may be related to you, your preferences, or your...

Required

Always Enabled

“Required” cookies are absolutely necessary for the website to work correctly. This category includes cookies that provide basic features and security measures for the website. They contain no personal data. Here is the list of cookies concerned:

Cookie	Duration	Description
AGEDISS_SID	Session	Website operation: allows for management of tracking
cookielawinfo-checkbox-necessary (Gestionnaire de cookies)	12 months	Allows you to see if you have accepted the required cookies
cookielawinfo-checkbox-non-necessary (Gestionnaire de cookies)	12 months	Allows you to see if you have accepted the cookies that are not required
PHPSESSID	Session	Website operation: allows for session management
pll_language (Langue)	12 months	Allows you to see what language you have selected (or your browser’s default language)

not required cookie

Any cookie that is not strictly necessary for the proper functioning of the website and that is used specifically to collect personal data through tracking tools, advertising or other embedded content is considered a “not required cookie”. We must therefore have your consent before using these cookies. Here is the list of cookies concerned:

Cookie	Duration	Description
_ga (google analytics)	14 months	Analytics: measures the number of unique visitors to our website
_gat_gtag_xxx (google analytics)	1 minute	Analytics: used to reduce the number of requests.
_gid (google analytics)	1 day	Analytics: used to differentiate users