International Committee Predictive Modelling Food

The International Committee on Predictive Modelling in Food (ICPMF) is a subcommittee of The International Committee on Food Microbiology and Hygiene (ICFMH).

[International Committee Predictive Modelling Food @icpmf]

Call open for nominations for one position of ICPMF board member:

[International Committee Predictive Modelling Food @icpmf]

Call open for nominations for one position of ICPMF board member:

[International Committee Predictive Modelling Food @icpmf]

👋 @tugbakilic84

[International Committee Predictive Modelling Food @icpmf]

INTERNATIONAL COURSE ON PREDICTIVE MICROBIOLOGY delivered by internationally recognized experts (Mariem Ellouze, Jozsef Baranyi, Moez Sanaa, Elena Carrasco, Antonio Valero, Fernando Perez-Rodriguez). Pre-registration: https://t.co/x7wNHBbHr2

[International Committee Predictive Modelling Food @icpmf]

To join the ICPMF Young Scientists Slack group, download the tutorial at our website: https://t.co/YJVbg4UzyJ

[International Committee Predictive Modelling Food @icpmf]

In the “predictive-μbio” workspace, anyone can ask questions, propose activities, courses or topics for discussion, share their research and work on their research projects. This is a platform created for you and by you, make the best of it!

[International Committee Predictive Modelling Food @icpmf]

The ICPMF Young Scientists Slack group, “predictive-μbio”, aims to bring the Predictive Modeller Community together, in particular students and early career scientists, by making communication easier and connecting newcomers and seniors.

[International Committee Predictive Modelling Food @icpmf]

The meeting room was full at the Live Demonstrations of the predictive software @Combasecc, FDA-iRisk, MicroHibro, GroPin and Sym'previus at the IAFP 19 Annual Meeting (louisville, US).

[International Committee Predictive Modelling Food @icpmf]

Successful symposium at IAFP meeting 2019 organized by @icpmf: Microbiology and Risk Assessment Software Fair: Live Demonstrations. Introduction to the software tools: @Combasecc, FDA-iRisk, MicroHibro, GroPin and Sym'previus.

[International Committee Predictive Modelling Food @icpmf]

Successful symposium at IAFP meeting 2019 organized by @icpmf: Microbiology and Risk Assessment Software Fair: Live Demonstrations. Introduction to the software tools: @Combasecc, FDA-iRisk, MicroHibro, GroPin and Sym'previus.

[International Committee Predictive Modelling Food @icpmf]

Very useful tutorial on methods to build Predictive Microbiology Models delivered by leading scientists. Don't miss this unique opportunity. Register now

[International Committee Predictive Modelling Food @icpmf]

Webinar in Spanish on "Ejemplos de estudios de vida útil en relación a Listeria monocytogenes en alimentos listos para el consumo " impartido por el Prof. Dr. Alfredo Palop de la Universidad Politécnica de Cartagena (España).
https://t.co/uKXPvhYrQF

[Avelino Alvarez @MetaResistantB]

Convocatoria de postdoc bioinformático para trabajar en el proyecto europeo MASTER (H2020) en nuestro grupo de la Universidad de León: htpps://www.unileon.es/files/convocatoria_pi_tecnico_ule_d355.pdf

[Avelino Alvarez @MetaResistantB]

El enlace correcto es: https://t.co/tqkUNnp0sU

[International Committee Predictive Modelling Food @icpmf]

@icpmf , BIOQURA and @Univcordoba organize a free access webinar, in Spanish, on shelf-life determination in RTE products based on Listeria monocytogenes.

Register at: https://t.co/0OV3Kmpxfh

[International Committee Predictive Modelling Food @icpmf]

@icpmf /BIOQURA/@Univcordoba organizan un Webinar, en Español, sobre determinación de vida útil basado en Listeria monocytogenes. Inscribete en:

https://t.co/0OV3Kmpxfh

[CIDRAP @CIDRAP]

#Listeria linked to deli-sliced products sickens 8, kills 1 https://t.co/m1lbiwMfw7 #FoodOutbreak #FoodSafety

[SeguridadAlimentaria @appccmicro]

E. coli Illnesses in 5 States Share Unknown Source
https://t.co/WijCSDIU6s

[Richard A. Amos, CPhys, CSci, FIPEM @proton_therapy]

Black hole pictured for first time — in spectacular detail.
⁦@ehtelescope⁩ #EHTBlackHole https://t.co/161FzPqeOW