216 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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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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spaces are inclusive, resilient, and sustainable? Then you might be the ideal PhD candidate to join our interdisciplinary team at Wageningen University & Research! We are looking for a highly motivated PhD
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of reconfigurable nonlinear processing units (RNPUs, [Nature 577, 341-345, 2020[(https://www.nature.com/articles/s41586-019-1901-0). In this PhD project, you will work on the development of efficient machine learning
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a PhD candidate, you will join the Artificial Cognitive Systems group within the Department of Machine Learning and Neural Computing at the Donders Institute for Brain, Cognition and Behaviour. You
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Work area PhD Organisational unit Erasmus School of Health Policy & Management (ESHPM) Salary € 2.901 - € 3..707 Employment 1 fte - 1 fte Introduction Description of the research program Transplantation
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talents. You will join the PhD program at the Graduate School of Life Sciences https://www.uu.nl/en/education/graduate-school-of-life-sciences . More information For more information, please contact Dr
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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Published Monday 14 Jul 2025 Deadline Thursday 31 Jul 2025 Work area PhD Organisational unit Erasmus School of Economics (ESE) Salary € 2.901 - € 3..707 Employment 1 fte - 1 fte Introduction
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institutes; participate in teaching at the KdVI and assist with the supervision of related research projects for Bachelor and Master students; participate in the Faculty of Science PhD training program
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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