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 Išči Ponastavi vse Spletni seminar Data Plant health TemaAnimal healthBiological hazardsChemical contaminants in food and feedCross-cutting scienceDataEmerging risksFeed additivesFood ingredients and packagingGMOMethodologyNovel foodNutritionPesticidesPlant healthVrstaKonferencaPlenarna zasedanjaSpletni seminarCiljna javnostNo event audience for this selectionDatumV prihodnjih mesecihPretekloDatumski razpon po meriOdDoPošljiPrikaži samo Odprto za javnostPrikaži samo Odprto za javnostRazvrsti poDate ascDate desc Rezultati 1 - 10 od 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 ›zadnja »
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)