-
be part of a small team, led by Dr Susanne Bornelöv, which studies gene regulation using various approaches including machine learning, evolutionary genomics, and sequencing bioinformatics. Our team is
-
as biostatistics, statistical data science, or machine learning) • Publish refereed articles in journals of international standing • Collaborate with colleagues in the school on research in
-
) and a good understanding of genetic and molecular biology concepts are also required. Knowledge in CRISPR-Cas9 technology, as well as familiarity with artificial intelligence and machine learning
-
initiative, learn quickly and adapt to new challenges. The position may require occasional travel. You have PhD degree in a structural biology related field (e.g., 3DEM, X-ray crystallography, NMR and 3DEM
-
to unravel the regulatory principles underlying the dynamics of intracellular signalling. We build these models by blending techniques from mathematical modelling and machine learning. More details about the