Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Swansea University
- ; The University of Manchester
- University of Nottingham
- ; University of Birmingham
- ; The University of Edinburgh
- University of Sheffield
- ; Cranfield University
- ; Newcastle University
- ; Brunel University London
- ; University of Bristol
- ; University of Nottingham
- ; University of Southampton
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- Imperial College London
- The University of Manchester
- University of Bristol
- University of Cambridge
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; Manchester Metropolitan University
- ; University of Exeter
- ; University of Greenwich
- ; University of Leeds
- ; University of Oxford
- ; University of Plymouth
- ; University of Sheffield
- ; University of Surrey
- ; University of Sussex
- ; University of Warwick
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Newcastle
- University of Oxford
- 31 more »
- « less
-
Field
-
, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
-
energy data lifecycle spans pre-construction (e.g., meteorological mast data, LiDAR data, wind climate and energy yield modelling, environmental impact assessment data), operational phases (e.g., SCADA
-
functional motifs are encoded in HS chains and how they influence their biological activity. Using gastruloids as a model system with which to study GAG structure/function relationships. Generating gastruloids
-
sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
-
, current models only predict the potential for events rather than actual specific landslide occurrence. These models also struggle to directly quantify landslide hazards and to address key characteristics
-
promise in understanding disease mechanisms and improving clinical decision-making. Recent studies suggest that generative models can uncover latent structures and improve classifier robustness across
-
of the assembly of these complex microbial communities using ecological theory and mathematical models. The questions we address are: (1) how does the microbial community change during cultivation
-
Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
-
cells or the tumor microenvironment reduces tumor growth and extends survival in preclinical models, underscoring their potential as dual-function therapeutic targets. To address this, we aim to develop
-
As part of the Restoration Ecology and Dynamics (READY) Doctoral Focal Award, we invite applications to the following PhD project: Measurement and modelling of future persistence of restored