102 computer-"https:"-"https:"-"https:"-"https:"-"U.S" positions at King's College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Foundation Programme Grant, we will refine our existing research computational tool and technology into a robust, well-engineering software as a medical device, ready for clinical evaluation. The tool will
-
conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
-
disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role This is a Research Associate
-
skills 3. Computer literacy including word processing, spreadsheets, databases and internet use 4. Evidence of significant understanding of technology transfer in an academic environment 5
-
About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises the Departments of Chemistry, Informatics, Mathematics, Physics. The Department of Mathematics has a
-
, including genomics, multi-omics platforms, and high-performance computing resources. You will also engage with wider collaborative initiatives that enhance the translational impact of your research. The post
-
About us King's College London is one of the top 10 UK universities and among the oldest in England. The Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences
-
and improving research support processes. The Senior Change Manager will work closely with RMID leadership, faculty research support teams, academic researchers, and programme teams to ensure smooth and
-
stratification. In addition to pursuing their own state-of-the-art research programme, the postholder will provide strategic leadership for academic haematology including research, education and mentorship
-
About us Our primary mission is to facilitate world-class computational and data-intensive research by bridging the gap between complex IT infrastructure and academic discovery. The department