Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
learning will be explored as enabling technologies for automated leakage detection and localization, analysis of complex measurements, fault-response characterization, intelligent exploration of large
-
, longitudinal modelling, machine learning and multivariate approaches. Proficiency in programming (e.g., MATLAB, Python, or R), handling large datasets, and working with complex analysis 2 pipelines is an
-
and research, in and outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems
-
outside academia. The Software Engineering group conducts research in a wide range of topics related to design, development, verification, and operation of complex software systems, including emerging
-
of the PhD will be to understand how complex coastlines, ocean circulation, and biology (e.g., reproductive systems and phenology, larval behavior and survival) interact to affect the spatial structure
-
biological data are increasingly common in modern biomedical research but remain challenging to analyse because of their scale, heterogeneity, and complex spatial and functional dependencies. Existing methods
-
25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
-
evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
-
-dimensional and structured biological data are increasingly common in modern biomedical research but remain challenging to analyse because of their scale, heterogeneity, and complex spatial and functional
-
. While adaptation studies recognise the intertwined complexities of heterogeneous built environments and societal vulnerabilities, methodological frameworks for harnessing the interests of marginalised