Aerial photo of the Cherry blossoms at the Quad, University of Washington
📸Timothy Anderson
Un poste d’IE en bioinformatique est actuellement ouvert au CEFE à Montpellier pour travailler dans le cadre de l'ERC RegEvol.
Détails ici:
emploi.cnrs.fr/Offres/CDD/U...
Début 01/01/2026 pour 18 mois potentiellement renouvelable.
candidature jusqu'au 29/11
N’hésitez pas à diffuser largement
A new permanent position is opened in our group at the Animal Genetics Division of @inrae-france.bsky.social to work on the development of new prediction models for genomic selection in livestock.
Job description is here : urls.fr/FZNWJQ
Don't hesitate to contact me for more information !
A new permanent position is opened in our group at the Animal Genetics Division of @inrae-france.bsky.social to work on the development of new prediction models for genomic selection in livestock.
Job description is here : urls.fr/FZNWJQ
Don't hesitate to contact me for more information !
Exciting news!
The next #PopGroup meeting will take place in Lille 🍟, France, 7–9 January 2026 – just 1 hour by train from London, Brussels, and Paris.
This year, PopGroup will also host ALPHY, the annual meeting of Evolutionary Genomics.
More info: populationgeneticsgroup.org.uk
See you there !
Pleasure giving a recap of a wonderful PopGroup conference, and the opportunity to talk about my research.
🔥
Cross-species cloning in ants 🐜
These two males belong to different species—but share the same mother. How? Why?
To celebrate the print release of our last paper in this week’s @nature.com (issue 8084), here’s a thread summarizing the results. Why? Let’s dive in🧵👇 www.nature.com/articles/s41...
1/
Out now in Cell: Our new study uncovers the ancient origins of a genetic mutation that protects against HIV — and rewrites the story of its surprising high frequency in Europe.
Link: doi.org/10.1016/j.ce...
Let’s dig in (popular science first, jump to 16 for technical details)
“We are not working on building an AI agent. We are working to protect Signal from the invasion of AI agents that threaten privacy and that are being implemented in irresponsible ways”
Hybridization and introgression are major evolutionary processes. Since the 1940s, the prevailing view has been that they shape plants far more than animals. In our new study (www.science.org/doi/10.1126/...
), we find the opposite: animals exchange genes more, and for longer, than plants
CR26-GA-1 - You will join the Genetics, Physiology and Livestock Systems (GenPhyse, about 150 permanent staff) joint research unit, where researchers aim to contribute to the agroecological transition of livestock systems through better understanding of livestock biology, genetic bases of traits, and selection schemes to achieve resilient populations. The unit brings together skills in biology, physiology, genomics, genetics, statistics, and bioinformatics. Within the unit, you will join the Chamade team (Characterization and management of genetic diversity) of the Diversity and Selection group comprising methodologists in quantitative genetics (genomic prediction, selection and evolution) and population genomics, as well as statisticians. Within your research team, you will be in charge of developing a new research programme in applied statistics to integrate high-throughput, heterogenous, and multiscale data into genetic and genomic evaluation methods. You will conduct your research to improve genomic prediction models by integrating new information relative to genome function (e.g. functional annotation), molecular phenotypes (e.g. transcriptomics, methylation), and high-throughput or intermediate phenotypes (e.g. longitudinal data, high throughput sensors).To integrate different types of data into current genomic prediction models, you will draw on a variety of statistical modelling, for example modelling SNP effects according to their functional annotation category, or including random effects capturing the inter-individual covariance for intermediate phenotypes. The modelling could draw, for example, on hierarchical models, meta-analysis methods, mediation analysis or machine learning, possibly simulation-based. In addition, as new high-throughput data may not necessarily be available on the same individuals as traditional data, their integration will require the implementation of suitable statistical techniques. The predictive performance of the developed models will be evaluated using numerical simulations, for instance based on real breeding programmes. The models will also be tested on real data from experimental and commercial programmes of livestock species. These data will be available through existing projects and partnerships within the unit and the division to initiate your research project. Computational efficiency must be taken into consideration in your developments to ultimately ensure their practical use in genetic and genomic evaluation. To develop your research, you will benefit from the proximity of experts in statistics, computer science, quantitative, molecular and population genetics within GenPhySE. In accordance with INRAE's policy for open science, in addition to scientific publications, you will promote your work by distributing free software implementing the new methods developed to ensure their wide dissemination to the international community.
CR26-GA-1 - You will join the Genetics, Physiology and Livestock Systems (GenPhyse, about 150 permanent staff) joint research unit, where researchers aim to contribute to the agroecological transition of livestock systems through better understanding of livestock biology, genetic bases of traits, and selection schemes to achieve resilient populations. The unit brings together skills in biology, physiology, genomics, genetics, statistics, and bioinformatics. Within the unit, you will join the Chamade team (Characterization and management of genetic diversity) of the Diversity and Selection group comprising methodologists in quantitative genetics (genomic prediction, selection and evolution) and population genomics, as well as statisticians. Within your research team, you will be in charge of developing a new research programme in applied statistics to integrate high-throughput, heterogenous, and multiscale data into genetic and genomic evaluation methods. You will conduct your research to improve genomic prediction models by integrating new information relative to genome function (e.g. functional annotation), molecular phenotypes (e.g. transcriptomics, methylation), and high-throughput or intermediate phenotypes (e.g. longitudinal data, high throughput sensors).To integrate different types of data into current genomic prediction models, you will draw on a variety of statistical modelling, for example modelling SNP effects according to their functional annotation category, or including random effects capturing the inter-individual covariance for intermediate phenotypes. The modelling could draw, for example, on hierarchical models, meta-analysis methods, mediation analysis or machine learning, possibly simulation-based. In addition, as new high-throughput data may not necessarily be available on the same individuals as traditional data, their integration will require the implementation of suitable statistical techniques. The predictive performance of the developed models will be evaluated using numerical simulations, for instance based on real breeding programmes. The models will also be tested on real data from experimental and commercial programmes of livestock species. These data will be available through existing projects and partnerships within the unit and the division to initiate your research project. Computational efficiency must be taken into consideration in your developments to ultimately ensure their practical use in genetic and genomic evaluation. To develop your research, you will benefit from the proximity of experts in statistics, computer science, quantitative, molecular and population genetics within GenPhySE. In accordance with INRAE's policy for open science, in addition to scientific publications, you will promote your work by distributing free software implementing the new methods developed to ensure their wide dissemination to the international community.
🎙️🔊📻 New Heredity podcast!
From PopGroup 59 in Lille.
Plenary speaker Florencia Camus talks about:
1. The conference
2. Conflict and coadaptation between the mitochondrial and nuclear genomes
Listen here: shows.acast.com/heredity-pod...
