A prestigious INSPIRE Fellowship, which is a Horizon 2020 Marie Sklodowska-Curie co-funded postdoctoral fellowship programme, is available.

The first call will be on the 30th of June and the successful applicant will be based in APC Microbiome Ireland, Cork, one of the world’s leading microbiome institutes.

The successful applicant would carry out a bioinformatics-based project on the role of the microbiome in inflammatory bowel disease under the supervision of Prof. Marcus Claesson.

For details please contact Prof. Marcus Claesson. Contact details at the COST Action website.



Our next training school is now planned at 5-7 October 2022. It will take place in Barcelona, Spain

For more details, please check here: https://www.ml4microbiome.eu/training-schools/ml4microbiome-training-school-2022-barcelona/


The research team of associate prof. Leo Lahti is seeking a researcher willing to support the development and benchmarking of data analysis techniques in human microbiome studies to accomplish the objectives of ML4Microbiome WG2.

The collaboration can be carried out by submitting a request for a Short Term Scientific Mission (STSM) or Virtual Mobility (VM) grant.

Leo Lahti’s team focuses on the development of computational methods for microbial ecology and metagenomics. The timing and content of the STSM or VM activity will be agreed upon together with the candidate.

More information on the research is available at datascience.utu.fi – the interested candidates can contact Leo Lahti | leo.lahti@utu.fi | +358 50 436 4626.”

Each year ML4Microbiome offers a variety of grants for our researchers and innovators from COST member countries.

Visit the ML4Microbiome website to find out more about the following grant opportunities:
Short Term Scientific Missions (STSM)
Conference grants for Inclusiveness Target Countries (ITC)
Virtual Mobility grants
Dissemination grants


Please be informed that the topics of all grants and your research work should be strictly related to the ML4Microbiome Action aims and WGs aims.

Should you need any further information please do contact our Grant coordinator Tatjana Loncar-Turukalo!

  • Would you like to learn how to prepare and analyse different human samples using whole-genome sequencing?
  • Are you interested in developing pipelines and analysing microbiome data?
  • Do you want to learn how to correlate microbiome with clinical data?

A combined laboratory and bioinformatic PhD position is available at the University of Fribourg from February 2022 for a study on “Antibiotic-induced disruption of the maternal and infant microbiota and adverse health outcomes – The ABERRANT study

Deadline: November 30, 2021

For more info look at the Call

Recorded presentations of speakers at the ML4Microbiome Symposium “Grand Challenges of Data-Intensive Science in Microbiome & Metagenome Data Analysis and Training” and Workshop “Statistical and Machine Learning Techniques for Microbiome Data Analysis” are now available on YouTube.

ML4Microbiome Symposium 2021 – YouTube

ML4Microbiome Workshop 2021 – YouTube

Presentations of speakers at the ML4Microbiome Symposium “Grand Challenges of Data-Intensive Science in Microbiome & Metagenome Data Analysis and Training” and at the Workshop “Statistical and Machine Learning Techniques for Microbiome Data Analysis” now available from the events web pages by clicking on the title in the programme.

We are delighted to announce the programme of the EMBnet & GOBLET Annual General Meeting 2021, including the ML4Microbiome Symposium “Grand Challenges of Data-Intensive Science in microbiome & metagenome data analysis and training” and the “Workshop on Statistical and Machine Learning Techniques for Microbiome Data Analysis(respectively October 14th-15th, 2021).

Rooms for registration are still available up to October 8th.

Registration form

Full Programme


Microbiome sequencing ONLINE Webinar series – Webinar 3: The microbiome and intestinal health

Marcus Presenting


The ML4Microbiome Training School 2021 will be held virtually on 27-28 September & 4-7-8 October 2021!

Visit the Training school webpage, look at the programme and register. Registration is free and open to everybody who is interested in learning about Machine Learning applied to the analysis of microbiome data.


Microbiome biology

Microbiome sampling & wet-lab basics, study design

Metagenomic data analysis for human gut microbiota: statistical specificity of microbiome data

Statistical analysis of microbiome data

Compositional data analysis

Machine learning: basic concepts

Avoiding compositionality and absolute abundance profiling

Discussion on rarefying, clustering and data transformation (alr/clr/ilr)

Unsupervised learning: Basic approaches

Supervised machine learning: Methods and Model Quality Assessment

Hands-on sessions on Unsupervised & Supervised Machine Learning