Reposted by Laurent Jacob
🚀 Interested in joining our Computational Evolution group at ETH Zürich in Basel @bsse.ethz.ch as a Postdoc?
We will be hosting ETH AI Center's Postdoc Fellows on AI x evolution, AI x single cell biology as well as AI x public health.
Apply now 👉 ai.ethz.ch/apply
Deadline: Oct 27, 2026
ai.ethz.ch
Fellowship Programs
The application portal for the ETH AI Center Fellowship Programs is now closed. The deadline for submitting reference letters is 23:59 CET on November 14, 2025.
![Exploring the space of self-reproducing RNA using generative models, Martin Weigt
Exploring the archaic introgression landscape of admixed populations through
joint ancestry inference, Jazeps Medina Tretmanis [et al.]
Predicting natural variation in the yeast phenotypic landscape with machine
learning, Sakshi Khaiwal [et al.]
Phylodynamic modeling with unsupervised Bayesian neural networks, Marino
Gabriele [et al.]
Likelihood-free inference of phylogenetic tree posterior distributions, Luc Blas-
sel [et al.]
Generative continuous time model reveals epistatic signatures in protein evolu-
tion, Barrat-Charlaix Pierre
Neural posterior estimation for high-dimensional genomic data from complex pop-
ulation genetic models, Jiseon Min [et al.]
A differentiable model for detecting diversifying selection directly from alignments
in large-scale bacterial datasets, Leonie Lorenz [et al.]
Detecting interspecific positive selection using transformers, Charlotte West [et al.]
Predicting Multiple Sequence Alignment Uncertainty via Machine Learning, Lucia
Martin-Fernandez [et al.]
Graph Neural Networks for Likelihood-Free Inference in Diversification Mod-
els, Amélie Leroy [et al.]
Popformer: learning general signatures of genetic variation and natural selection
with a self-supervised transformer, Leon Zong [et al.]](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:7x5c6ifrcznmg4mzhfuc2a6r/bafkreidur7bz43o2jhwr4gbt36awozawqthbkkfeszxjkxf4kvhyh7q6du)
![PRIVET: PRIVacy metric based on Extreme value Theory, Antoine Szatkownik [et
al.]
Generative models for inferring the evolutionary history of the malaria vector
Anopheles gambiae, Amelia Eneli [et al.]
Language Models Outperform Supervised-Only Approaches for Conserved Ele-
ment Comprehension, Eyes Robson [et al.]
Identification and Classification of Orphan Genes, Spurious Orphan Genes, and
Conserved Genes from the human microbiome, Chen Chen
Neural Simulation-based inference of demography and selection, Francisco De
Borja Campuzano Jiménez [et al.]
Species Identification and aDNA Read Mapping Using k-mer Embeddings, Filip
Thor [et al.]
Contrastive Learning for Population Structure and Trait Prediction, Filip Thor [et
al.]
Protein and genomic language models chart a vast landscape of antiphage de-
fenses, Mordret Ernest
The Phylogenomics and Sparse Learning of Trait Innovations, Gaurav Diwan [et
al.]](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:7x5c6ifrcznmg4mzhfuc2a6r/bafkreig4akadduemzbit67bv7jnr7x2ircwiriykabg2imuf3phy6hhube)
