Sort by
Refine Your Search
-
networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
-
risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
-
techniques including culturing of microorganisms, isolating and culturing of immune cells, and constructing genetically modified microorganisms. The students will use molecular, cell biology and protein
-
for genetic diseases. If you're excited by the intersection of biotechnology, process development, and therapeutic innovation, we’d love to hear from you.Project 1: Understanding upstream AAV gene therapy