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 Αναζήτηση Επαναφορά όλων Διαδικτυακό σεμινάριο Animal health Data Plant health ΘέμαAnimal healthBiological hazardsCross-cutting scienceDataFeed additivesFood ingredients and packagingGMONovel foodNutritionPesticidesPlant healthΤύποςΔιάσκεψηΔιαδικτυακό σεμινάριοΕνημερωτική συνεδρίασηΕπιστημονικό συνέδριοΟλομέλειεςΤεχνικές συνεδριάσειςΚοινό-στόχοςNo event audience for this selectionΗμερομηνίαΠροσεχώςΠροηγούμενος/-η/-οΕξατομικευμένο εύρος ημερομηνιώνΑπόΠροςΥποβολήΑνοιχτό για καταχώρισηΑνοιχτό για καταχώρισηΤαξινόμηση κατάDate ascDate desc Αποτελέσματα 1 - 10 από 11 Webinar Webinar: how to publish in Knowledge Junction Webinar Webinar: Inputting data using the additive usage template & an introduction to the Food Additive Intake Model (FAIM) Webinar Webinar: The FoodEx2 classification system and guidance on its harmonised use Webinar Webinar: How to prepare a pest list for a commodity and a dossier for Momordica fruits Webinar Webinar: Sharing data with EFSA: a simple guide Webinar Webinar: EFSA Activities on Horizon Scanning for Plant Health Webinar Webinar: High-risk plants – how does the EU carry out risk assessment of plant commodities? Webinar Webinar: The EFSA host plant database of Xylella spp. Webinar Webinar: Toolkit for plant pest surveillance Webinar Webinar: Detect your pests: practical statistical framework for risk-based surveillance 12NextΤελευταία »
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)