Scientific colloquium EFSA’s Scientific Colloquium 27 “Cell culture-derived foods and food ingredients” Date:11 May 2023 - 12 May 2023 Place:Brussels, Belgium and online Event Risk Assessment Research Assembly (RARA) 2022 – video recording available Date:7 December 2022 Place:Berlin, Germany Meklēt Atiestatīt visus Tīmekļseminārs Data Plant health TematsAnimal healthBiological hazardsChemical contaminants in food and feedCross-cutting scienceDataEmerging risksFeed additivesFood ingredients and packagingGMOMethodologyNovel foodNutritionPesticidesPlant healthVeidsKonferencePlenārsēdesTīmekļseminārsAuditorijaNo event audience for this selectionDatumsDrīzumāIepriekšPielāgots datumu diapazonsNoLīdzIesniegtRādīt tikai Atvērts publikaiRādīt tikai Atvērts publikaiKārtot pēcDate ascDate desc Rezultāti 1 - 10 no 11 Webinar Webinar: Pest surveys following an outbreak: delimiting and buffer zone surveys Webinar Webinar: Detect your pests: practical statistical framework for risk-based surveillance Webinar Webinar: Toolkit for plant pest surveillance Webinar Webinar: The EFSA host plant database of Xylella spp. Webinar Webinar: High-risk plants – how does the EU carry out risk assessment of plant commodities? Webinar Webinar: EFSA Activities on Horizon Scanning for Plant Health Webinar Webinar: Sharing data with EFSA: a simple guide Webinar Webinar: How to prepare a pest list for a commodity and a dossier for Momordica fruits Webinar Webinar: The FoodEx2 classification system and guidance on its harmonised use Webinar Webinar: Inputting data using the additive usage template & an introduction to the Food Additive Intake Model (FAIM) 12Next ›Pēdējais »
Scientific colloquium EFSA’s Scientific Colloquium 27 “Cell culture-derived foods and food ingredients” Date:11 May 2023 - 12 May 2023 Place:Brussels, Belgium and online
Event Risk Assessment Research Assembly (RARA) 2022 – video recording available Date:7 December 2022 Place:Berlin, Germany
Webinar Webinar: Inputting data using the additive usage template & an introduction to the Food Additive Intake Model (FAIM)