30 natural-language-processing-phd Postdoctoral positions at University of Cambridge in Uk
-
molecular and computational approaches. They will hold a PhD in a relevant subject, have a solid computational background, and be able to curate, analyse and interpret complex single-cell data sets
-
or spatial profiling; Mouse genetics and in vivo experimentation; Lineage tracing, clonal dynamics, or immune repertoire studies Candidates should hold (or be close to completing) a PhD in a relevant field
-
development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology
-
initiation, focusing on complex cell¿cell communication dynamics (e.g., Nature 2024 PMID 39112713) The successful candidate will work closely alongside a postdoctoral research associate, Dr Iannish Sadien
-
on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. The funds
-
robots. They will be working with a team composed of PhD students, Research Assistants and Postdocs that is developing novel multi-robot architectures for practical, real-world settings. Current solutions
-
laboratory-based experiments such as tissue processing for multi-omic studies, Western blotting, cell culture, and immunohistochemistry. The ideal candidate will be proactive, adaptable, and capable
-
oral communication skills, with the ability to clearly present research findings to a broad audience, including at conferences and in publications. Teamwork & Independence: Ability to work both
-
. They will use this knowledge to develop strategies to engineer expression in plants, seeking to optimise yields from metabolic pathways. Key skills The successful candidate must have a PhD in molecular or
-
accomplishments and future research interests. Contact information for three references. For queries relating to your application or the application process, please contact Professor Matthew Gaunt via email on