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Dr. Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The candidate will be part of the CogniGron center
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located across 5 European countries. MonaLisa is at the forefront of artificial molecular machine research, setting the stage for breakthroughs in chemical synthesis, nanotechnology, medical treatment and
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Tamalika
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Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Beatriz
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Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Tamalika
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that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation