LIFD Early Career Researcher Spotlight: Miranda Horne
Thesis title: Machine Learning Methods for Inverse Problems in Fluid Dynamics School/ Faculty: School of Computing (EPS) Supervisors: Professor Peter Jimack, Dr He Wang (UCL), Dr Amirul Khan ...
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Thesis title: Machine Learning Methods for Inverse Problems in Fluid Dynamics School/ Faculty: School of Computing (EPS) Supervisors: Professor Peter Jimack, Dr He Wang (UCL), Dr Amirul Khan ...
We are very excited to announce the launch of the LIFD Seminar Series on Cassyni. When you visit our Cassyni page you will find: Details...
Thesis title: Towards Zero Carbon Emission Hydrogen Gas Turbine School/ Faculty: School of mechanical engineering/ Faculty of engineering physics and science Supervisors: Dr. Junfeng Yang, Prof. Alison...
Lecturer in Indoor Air (Teaching and Research) Are you someone with proven abilities to carry out teaching and research in Indoor Air and Building...
Call for applications to the NFFDy Summer Programme 2024 University of Leeds 8th July 2024 - 16th August 2024 Theme: Applications of Data Driven Fluid...
As part of LIFD’s 5th Birthday Celebration on the 25th January 5pm – 6pm, we will be holding a poster session and we are looking...
National Engineering Day is celebrated on 1 November. It’s a day dedicated to recognising the achievements and contributions of engineers. To celebrate the day, they have...
Thesis Title: Patient-specific tumour growth models to predict the outcome of neoadjuvant chemotherapy in breast cancer patients. Supervisors: Dr Zeike Taylor, Prof. David Buckley Tell...
Congratulations to our Leeds Institute for Fluid Dynamics Director Steve Tobias on being elected an APS Fellow! Steve Tobias [2023] University of Leeds Citation: For significant contributions to...
LIFD is pleased to have been able to support the development and build of a new exhibit at MathsCity, head on down to Leeds Trinity...