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Martin Australia invite applications for a project under this program, exploring the development of Physics Informed Neural Networks (PINNs) for efficient signal modelling in areas such as weather
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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in which the project is hosted For further information, please contact Prof. Alexander Skupin (email address: ). Your profile Master's degree or equivalent in biophysics, physics, computer
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Award duration: 4 years Food processing currently relies heavily on the combustion of natural gas to provide process and space heating. Until recently, natural gas was considered the preferred fuel
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issues like climate change, biodiversity loss, and environmental degradation. We aim to understand the interactions within social-physical systems, considering land uses and diverse stakeholders. The chair
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general enquiries on the scholarships, please email: Research Programme Leader, Dr Irma Malafronte, at irma.malafronte@roehampton.ac.uk For administrative support regarding the application process, please
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meet the requirements for admission to the faculty's Doctoral Programme (Phd - NTNU ) Software skills in 2D/3D technical drawing Strong theoretical background in fluid mechanics, mathematics and physics
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modelling. Application of the produced soft sensor to investigate the feasibility of process control. The project will be supervised by Prof. Jürgen Hubbuch and Dr.-Ing. Iris Perner-Nochta. The successful
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the technical and social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in
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related to their visible difference. There is evidence from young people with other physical differences mentoring can enhance wellbeing and support individuals in being confident to address