34 lecturer-in-computer-science Postdoctoral positions at University of London in United Kingdom
Sort by
Refine Your Search
-
-purposing. This role is a fantastic opportunity for someone passionate about leading innovative research and making impactful contributions to the field of computational biology. You will hold a PhD (or close
-
View All Vacancies Comparative Biomedical Sciences Location: Camden (King's Cross, London) Salary: £39,969 to £50,760 Per Annum Including London Weighting Fixed Term / Full Time Closing Date: 23.59
-
science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
-
View All Vacancies Veterinary Epidemiology, Economics & Public Health Group Location: Camden (King's Cross, London) Salary: £34,574 to £50,519 Per Annum Including London Weighting Fixed Term / Full
-
View All Vacancies Professor / Lecturer Location: Hawkshead (nr Potters Bar, Herts) Salary: £39,969 to £50,760 Per Annum Including London Weighting Permanent / Full Time Closing Date: 23.59 hours
-
collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent
-
to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
-
track record of high impact research. About You You will bring a strong academic background with methodological experience of health economics, including economic evaluation and costing, and applied
-
et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
-
Research Council’s (AHRC) Bridging Responsibilities AI Divides (BRAID) programme that will explore new technologies, new business models and new approaches to data provenance in pursuit of an equitable