Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Singapore Institute of Technology
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- ;
- National University of Singapore
- University of Adelaide
- University of Cambridge
- University of Oslo
- Macquarie University
- University of Michigan
- AbbVie
- CNRS
- Edinburgh Napier University;
- Glasgow School of Art;
- LINGNAN UNIVERSITY
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Monash University
- QUEENS UNIVERSITY BELFAST
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- Queen's University Belfast
- Queen's University Belfast;
- RMIT University
- SciLifeLab
- Simula Metropolitan Center for Digital Engineering
- The University of Alabama
- University College Cork
- University of Alabama, Tuscaloosa
- University of Birmingham
- University of British Columbia
- University of Glasgow
- University of Maryland, Baltimore
- University of Michigan - Ann Arbor
- University of Nottingham
- 23 more »
- « less
-
Field
-
project: Atropisomerism as an Enabling Technology for Foldamers. This research programme aims to develop a new class of artificial oligomers – atropisomeric foldamers – in which molecular conformation is
-
Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
-
English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
-
- the School of Innovation & Technology (SIT) the School of Design, the School of Fine Art and the Mackintosh School of Architecture. The School of Innovation and Technology combines academic study at
-
integration. Provide expert-level technical and research support to the Architectural Engineering Group. Contribute to ongoing research projects, funding applications, and spinout activities, including
-
transitions to renewable technologies—inherently weather-dependent—the influence of climate and weather becomes increasingly critical. At the same time, climate change and the rising frequency of extreme
-
microservices architecture and Kubernetes. Knowledge of AWS, Terraform, and other cloud technologies Work Ethic: A strong work ethic with the ability to work independently and as part of a broader team, including
-
fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
-
. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a cover letter and curriculum vitae and include contact information for at least two
-
over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health