Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- Duke University
- ; Swansea University
- ; University of Birmingham
- Harper Adams University
- ; The University of Manchester
- ; City St George’s, University of London
- ; Cranfield University
- ; Newcastle University
- ; The University of Edinburgh
- University of Cambridge
- ; University of Exeter
- ; University of Leeds
- ; University of Southampton
- ; University of Surrey
- Cornell University
- Purdue University
- University of Sheffield
- University of Utah
- ; University of Nottingham
- ; University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Nature Careers
- University of Newcastle
- University of Oxford
- ; Brunel University London
- ; University of Cambridge
- ; University of Reading
- ; University of Sheffield
- California Institute of Technology
- Rutgers University
- The University of Iowa
- University of Alabama at Birmingham
- University of Central Florida
- University of North Texas at Dallas
- University of Pennsylvania
- University of Pittsburgh
- Wayne State University
- ; Aston University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; King's College London
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Oxford Brookes University
- ; University of Bristol
- ; University of East Anglia
- ; University of Greenwich
- ; University of Strathclyde
- Ariel University
- Brookhaven Lab
- Brunel University
- Fred Hutchinson Cancer Center
- Heriot Watt University
- Imperial College London
- Max Planck Institute for Solid State Research •
- Princeton University
- Texas A&M University
- The Ohio State University
- University of Alaska
- University of California, Berkeley
- University of Florida
- University of Massachusetts Medical School
- University of Minnesota
- University of Minnesota Twin Cities
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of Oregon
- University of Southern California
- University of Texas at Austin
- 64 more »
- « less
-
Field
-
. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional
-
interdisciplinary team working on the development of cross-platform alignment technologies that integrate material science, process engineering and sustainability analysis to deliver scalable solutions for circular
-
treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
-
uncrewed aerial vehicles (UAVs), within the context of national emergency logistics. The project will examine how these technologies can be integrated with existing infrastructure to support the timely and
-
simulate maternal cardiovascular response Data fusion and integration of heterogeneous datasets from wearables and hospitals A Collaborative, Interdisciplinary Environment: The position is based in
-
practices for data processing and integration into hydraulic modelling and risk assessment. This project will create a novel methodology for analysing the datasets to achieve meaningful improvements in flood
-
solutions for maritime propulsion systems. The primary aim of the project is to design and implement a flexible, high-performance control strategy for an integrated power system consisting of an ammonia
-
of the project. The student is expected to travel between the University and the Hospital Trust in Liverpool. Project aims and objectives Using the state-of-the-art integrative physiology techniques, this multi
-
will be self-motivated, think critically, and thrive in a multidisciplinary environment that integrates experimental and computational approaches. General Responsibilities As a Researcher Senior Lead
-
develop a clear and reliable spectroscopic method for detecting and quantifying minimally resolved key biomarkers across various separation media, with the aim of eventual integration into a point-of-care