21 computational-complexity-"U.S"-"U.S" Postdoctoral positions at University of London
Sort by
Refine Your Search
-
comparing these approaches in terms of computational complexity, implementability, effectiveness, and interpretability, this project aims to establish solid mathematical criteria to inform novel design and
-
About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
-
for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
-
project will take advantage of the expertise in the lab working with nucleoprotein complexes aided by dedicated cryo-EM and X-ray crystallography facilities. This project will be done in close collaboration
-
” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in Computer
-
the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer. The appointed PDRA will be integrated into a multidisciplinary team and will
-
- and babesiosis-causing parasites. This MRC-funded 3-year research project will reveal the function of the RIPR protein complex in the malaria parasites Plasmodium knowlesi and Plasmodium vivax
-
and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying
-
computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School
-
motivated computational Postdoctoral Research Assistant to lead on an established and successful research line aimed at understanding the genetic events that drive cancer evolution. We have a long-lasting