Andrea Mihajlović is the winner of the Aleksandar “Saša” Popović Award For Best Student Paper 2022
Andrea Mihajlovic is a Mathematician and Data Science researcher, currently a PhD student in Informatics at the Faculty of Sciences, Novi Sad, Serbia.
We are thrilled to announce that thanks to the research work carried out during an ML4Microbiome…
One position for a doctoral researcher or research assistant is open in statistical and computational microbial ecology
The Department of Computing at the University of Turku is opening a full-time position for a doctoral researcher or research assistant in statistical and computational microbial ecology.
The starting date is 1.3.2023 or later, to be set by…
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Funded by the Horizon 2020 Framework Programme of the European Union.
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Training School 2023 Utrecht
ML4MICROBIOME TRAINING SCHOOLS
Registration is open for the 4th edition of the ML4Microbiome training school. It is planned to take place on 6-8 March 2023 in Utrecht, The Netherlands. For more details, please check here.
Andrea Mihajlović is the winner of the Aleksandar “Saša” Popović Award For Best Student Paper 2022
Andrea Mihajlovic is a Mathematician and Data Science researcher, currently a PhD student in Informatics at the Faculty of Sciences, Novi Sad, Serbia.
We are thrilled to announce that thanks to the research work carried out during an ML4Microbiome STSM in Bari, at the Department of Computer Science and under the supervision of Michelangelo Ceci & Gianvito Pio, Andrea won from the Faculty of Sciences, University of Novi Sad, Serbia, the Aleksandar “Saša” Popović Award For Best Student Paper 2022.
A short report of Andrea’s STMS work is available here.
Presentations, papers and photos from the workshop held on 25.11.2022 are available here.
One position for a doctoral researcher or research assistant is open in statistical and computational microbial ecology
The Department of Computing at the University of Turku is opening a full-time position for a doctoral researcher or research assistant in statistical and computational microbial ecology.
The starting date is 1.3.2023 or later, to be set by mutual agreement. The fixed-term contract will be made for 24 months, after which a possible continuation is agreed upon separately.
The position focuses on the development of Bayesian probabilistic models for analysing spatial and temporal microbial ‘omic data from an ecological perspective. The project aims at advancing our understanding of the assembly and functioning of microbial communities through applications of the developed approaches to environmental and human microbiome data.
For more information go to https://tinyurl.com/2y2c4zdf