Sort by
Refine Your Search
-
Listed
-
Field
-
The project offers a unique opportunity to work at the interface of artificial intelligence and biology, combining multimodal machine learning with real-world biological data. The results will contribute to a
-
secondary growth, focusing on plant responses to fluctuating water availability. It examines how water status affects cambial activity in Hybrid Aspen and Arabidopsis thaliana. The student will combine
-
these closely interacting microbial communities. By combining advanced anaerobic cultivation techniques with omics-based approaches (metatranscriptomics and metaproteomics), you will uncover the molecular
Enter an email to receive alerts for combinators "https:" positions