About the position
Assignment
The proposed PhD aims to design the next generation of open-source TFMs capable of natively and efficiently processing mixed-type tabular data. The core scientific challenge is to understand how heterogeneous embeddings (numerical, textual, categorical), which give rise to tokens with fundamentally different geometries, can be jointly processed within a single in-context learning architecture.
Main activities
Writing and publishing research papers.
Contributing to open-source software.
Skills
Compétences techniques et niveau requis :
This listing was collected from a public source and is reproduced here for
information only. Always confirm the details on the original posting before applying.
View the original posting