397 machine-learning "https:" "https:" "https:" "https:" "The Open University" PhD positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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- Delft University of Technology (TU Delft); today published
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- DIFFER; Published yesterday
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- Eindhoven University of Technology (TU/e); Published yesterday
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- University Medical Center Utrecht (UMC Utrecht); today published
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- University of Amsterdam (UvA); Published 28 Nov ’25
- University of Amsterdam (UvA); yesterday published
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- Vrije Universiteit Amsterdam
- Vrije Universiteit Amsterdam (VU); Published 28 Nov ’25
- Vrije Universiteit Amsterdam (VU); Published 31 Oct ’25
- Wageningen University & Research; today published
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number of detectors and connect the large number of required optical fibers to the quantum computer, a strict bottleneck in the number of electrical interconnects between the cryogenic photon detectors and
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of related events and activities. In addition, they may be given a temporary appointment at the University to design and teach an undergraduate course in the general area of their interest. Requirements A
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preferably have experience working with cyanobacteria Candidates should have excellent written and spoken English skills and be willing to acquire sufficient proficiency in Dutch Candidates are expected
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the response model from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques
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the Computer Engineering group. Curious to learn more about the project, and perhaps our group? Feel free to browse our webpages: About our department: QCE department . About our group: Computer Engineering Lab
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, neuroimaging and clinical psychiatry, with direct clinical impact. Your main activities are: analyzing and integrating multimodal MRI data for biotype identification; applying machine learning and advanced
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, particularly integer programming, e.g., vehicle routing and packing problems and heuristics; simulation; data-driven modelling; decision support systems; AI (reinforcement learning, machine learning). Motivation
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description Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to
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professor. The group has three research tracks: freeform design, imaging optics and improved direct methods; for more details see https://martijna.win.tue.nl/Optics/ . The following mathematical disciplines
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(including ultra-high-field and ultrafast MRI) Computational and network neuroscience Machine learning and biologically inspired AI Vision science and predictive coding Clinical neuroscience and