13 assistant-professor-computer-science-and-data-"St"-"St" Fellowship positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Listed
-
Field
-
pipelines Expertise in multi-omics data integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility
-
-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
-
scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department
-
opportunity to conduct cutting-edge science with the potential to reshape our current understanding of mental health. Supported by a collaborative environment, you will be able to advance your research
-
18 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Medical sciences Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
-
from backgrounds, including computational chemistry, bioinformatics, systems biology, physics and machine learning. The project offers a unique opportunity to collaborate closely with experimental
-
About Us The post holder will join Professor Vile’s newly established laboratory in the School of Cancer & Pharmaceutical Sciences at King’s College London. They will collaborate closely with Dr
-
. For information about the first phase of KIS work (2013–2018) please see: http://www.kingsimprovementscience.org The KIS programme is supported by KHP (£2.5M in total) and aligned to the NIHR Applied Research
-
this to improve anxiety in everyday life. The Research Fellow will help to lead the trial research team, co-supervising other trial staff including Research Associates, a Research Assistant, and a Programme Manager
-
Clinical Research Fellow. You will work closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta