Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- National University of Singapore
- Nature Careers
- ;
- AbbVie
- Harvard University
- Nanyang Technological University
- City of Hope
- DAAD
- RMIT UNIVERSITY
- RMIT University
- The University of Queensland
- University of British Columbia
- Indiana University
- Max Planck Institute for Biology of Ageing, Cologne
- Open Society Foundations
- Villanova University
- Auburn University
- Cold Spring Harbor Laboratory
- Curtin University
- Dana-Farber Cancer Institute
- Florida International University
- Johns Hopkins University
- King's College London
- La Trobe University
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- RCSI - Royal College of Surgeons in Ireland
- Singapore Institute of Technology
- UNIVERSITY OF SURREY
- University of Adelaide
- University of Cambridge
- University of London
- University of New England
- University of Nottingham
- University of South-Eastern Norway
- Vanderbilt University
- Zukunftskolleg, University of Konstanz
- 28 more »
- « less
-
Field
-
at conferences and seminars Stay current with relevant literature Your qualifications: Strong track record of scientific accomplishments is essential Prior hands-on experience in cell culture, biochemical assays
-
other project partners, and to take advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research
-
(CFD) methods. The role focuses on transitioning legacy CFD solvers to modern, Python-based AI frameworks (e.g., PyTorch, JAX), targeting high-efficiency, scalable simulations of water-air systems with
-
collaboration with Open Targets and BioModels teams. The project Digital Twins are virtual representations of patients that simulate disease progression and treatment response. Rare diseases pose a unique
-
sources. Proven track record leading collaborative industry-academia research projects in carbon management in the mining industry, including carbon accounting, net zero target setting, and carbon offset
-
groundbreaking initiative to target cell surface proteins, which constitute nearly one-third of all coded proteins and are pivotal drug targets. While existing technologies, such as bifunctional degraders, have
-
data, leveraging advanced computational models, and applying state-of-the-art genomic technologies. The postdoc will develop new computational approaches to further our mission to identify drug targets
-
treatments further adds to the already substantial impact on quality of life and underlines the need for improved knowledge on pathogenic mechanisms to inform novel drug targets for inflammatory skin diseases
-
engaging meaningfully with government, community, and media stakeholders. Raise the public and professional profile of the Justice Health Group through targeted communication and strategic partnerships. Lead
-
. About you The post holder will have the following: Essential: Higher academic degree e.g. PhD, or evidence of an equivalent level of attainment in research publications A track record of scholarly