50 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of Groningen
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to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be
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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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completion of the PhD thesis within the next three years is to be expected. A university PhD training programme is part of the agreement, and the candidate will be enrolled in the Graduate School of Science
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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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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles
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of “the countryside” for both urban and rural residents. The PhD position is part of the NWO-funded research programme Fertile Soils, which conducts inter- and trans-disciplinary research into making relationships
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progress in the first year to indicate that a successful completion of the PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful
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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