-
will lead the bioinformatic and evolutionary analyses, with opportunities to contribute to field sampling and molecular lab work. This is an excellent opportunity to play a central role in a pioneering
-
cutting-edge approaches: 1. Population Genomics: You will utilize whole-genome sequencing and bioinformatic analysis to: * Characterize the genetic diversity and evolutionary relationships within a
-
research, high-throughput data generation, and bioinformatics analyses, contributing to high-impact research at the interface of plant and fungal physiology, molecular biology, and ecology. You will have a
-
the data's structure, which can reveal hidden patterns. The project aims to apply and adapt TDA techniques from various fields—such as physics, mathematics, bioinformatics, and neuroscience—to uncover new
-
hidden patterns. The project aims to apply and adapt TDA techniques from various fields—such as physics, mathematics, bioinformatics, and neuroscience—to uncover new insights and improve ML models. By
-
bioinformatic analysis of big data, for a truly integrated approach to investigate the role of type I IFNs in bacterial infections. You will combine: Testing host-pathogen interactions in human macrophages and
-
bioinformatics or programming (R/Python) is highly desirable. We welcome applicants from diverse backgrounds who are enthusiastic about combining molecular (wet-lab) and computational approaches to uncover how
-
student with a degree in plant biology or microbiology and a keen interest in chemical soil ecology. Experience with bioinformatics or programming (e.g. R/Python) is desirable. We welcome applicants from
-
, bioinformatics; Utrecht & Sheffield) High-resolution metabolomic analyses (LC-MS/MS, MALDI-timsTOF imaging; Sheffield) Computational integrative analysis of plant transcriptomic, metabolomic, and microbial
-
both wet bench work and computational work (bioinformatics, chemoinformatics and image analysis). You will gain experience in working with zebrafish embryos, and the use of high-content imaging