Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ;
- ; Swansea University
- University of Cambridge
- The University of Manchester
- University of Sheffield
- ; The University of Manchester
- ; University of Birmingham
- ; University of Southampton
- AALTO UNIVERSITY
- ; City St George’s, University of London
- University of Newcastle
- ; University of Exeter
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Surrey
- ; University of Warwick
- Newcastle University
- University of Bristol
- University of Cambridge;
- ; Brunel University London
- ; Loughborough University
- ; Newcastle University
- ; University of Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Oxford
- ; University of Sheffield
- Harper Adams University
- Imperial College London
- KINGS COLLEGE LONDON
- UCL
- University of Exeter
- University of Oxford
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Imperial College London
- ; Manchester Metropolitan University
- ; St George's, University of London
- ; University of Plymouth
- Abertay University
- Brunel University London
- Coventry University Group;
- King's College London;
- Loughborough University;
- Manchester Metropolitan University
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- UWE, Bristol
- University College London
- University of Birmingham
- University of Exeter;
- University of Glasgow
- University of Greenwich
- University of Liverpool
- University of London
- University of Nottingham;
- University of Sheffield;
- University of Strathclyde;
- University of Surrey
- University of Sussex
- University of Warwick;
- 57 more »
- « less
-
Field
-
tumours and metastases with the goal to design combinatorial therapeutic approaches. The project will involve the use of genetically complex organoid-derived transplantation mouse models of pancreatic
-
control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
-
, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
-
II during transcription and how they control biogenesis of ncRNA and contribute to gene expression regulation using state-of-the-art genomic approaches (Aim 2 and 3). The lab employs several model
-
create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
-
treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations
-
: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
-
mouse models and immunology expertise (CRUK-CI), access to relevant patient material (matched fresh-frozen PDAC and serum samples). We will utilize AstraZeneca expertise in spatial and circulatory
-
will generate a wide range of contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models
-
signs of cardiovascular changes, adaptively model physiological patterns, and identify predictive biomarkers of maternal health. You will develop and apply cutting-edge techniques in: Signal processing