44 software-engineering-model-driven-engineering-phd-position positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
-
and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
-
are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge engineering, linked data, web technologies. About the role
-
geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
-
this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering
-
King’s College London is an internationally renowned university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The School of Life Course & Population Sciences
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us King’s College London is a leading University with nine Faculties. As part of King’s Health
-
, participate in educational evaluation or research, and apply educational technology and automation tools to enhance resource management and delivery. Candidates with experience in these areas will have the
-
to their environment and how in turn their influence health and disease. The successful candidate will combine preclinical models and patient-derived samples to explore the metabolic regulation of macrophages in