66 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" research jobs at University of London
Sort by
Refine Your Search
-
models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
-
AI with large-scale datasets, the post holder will drive biological discovery. The work involves developing sophisticated frameworks to bridge the gap between computational frameworks and clinical
-
Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
-
in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Department of Infection Biology brings together pathogen
-
with a PhD in physics, mathematics, computer science, mathematical/computational biology, evolutionary theory or cancer genetics. About the Institute The Barts Cancer Institute (BCI) is a Cancer Research
-
programme into health equity. The role will be based in the Blizard Institute This is an opportunity for a candidate with a Postgraduate (MSc/ MA) qualification in a relevant subject, to be part of
-
in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
-
must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires proven expertise in data science or related fields, with strong skills in quantitative analysis applied
-
About the Role We are seeking a highly motivated and talented Postdoctoral Research Associate to join an interdisciplinary research programme investigating cellular and molecular interactions
-
. The study integrates clinical, microbiological, and data science approaches to generate evidence and tools for safer, more targeted infection management in hospitalised newborns. Key output involves leading