Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- University of Nottingham
- Nature Careers
- University of Sheffield
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Bristol
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF MELBOURNE
- University of London
- CRANFIELD UNIVERSITY
- Cardiff University
- City University London
- King's College London
- Lancaster University
- Lancaster University;
- London School of Hygiene & Tropical Medicine;
- Nottingham Trent University
- Queen's University Belfast
- Sheffield Hallam University
- The University of Southampton
- UCL;
- University of Glasgow
- University of Leeds
- University of Plymouth;
- University of Surrey
- University of Surrey;
- 21 more »
- « less
-
Field
-
stories and people on LinkedIn . Your next career opportunity As an R software developer for the mixOmics toolkit, you'll play a crucial role in maintaining and expanding this widely used R package
-
Are you a software engineer who wants to make a real-world impact? Join the MRC Integrative Epidemiology Unit (IEU) at the University of Bristol and become a critical force in solving major public
-
becoming standard practice. However, achieving formal assurance of software correctness remains a complex challenge. Seminal work in programming language semantics provides powerful frameworks
-
from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator). The Project
-
part of the research team to develop software platforms for supporting multi-user AR/VR applications. Key Responsibilities Participate in the research project with Principal Investigator (PI), Co-PI and
-
People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator
-
software for charger communication and control. Work on energy storage integration for marine charging infrastructure. Collaborate with industry partners and regulatory bodies on marine charging standards
-
includes embedded and sensing systems, tinyML, data science, AI and software development. Responsibilities encompass active involvement in the ProSensing project's development activities, such as AI on Edge
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
-
, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan