231 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions in Netherlands
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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- European Space Agency
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- Delft University of Technology (TU Delft); yesterday published
- Erasmus University Rotterdam
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- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA); 26 Sep ’25 published
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- Vrije Universiteit Amsterdam (VU)
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- Amsterdam UMC; Amsterdam
- Amsterdam UMC; 27 Sep ’25 published
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); 27 Sep ’25 published
- Erasmus University Rotterdam (EUR)
- Erasmus University Rotterdam (EUR); Rotterdam
- KNAW
- Leiden University Medical Center (LUMC)
- Leiden University Medical Center (LUMC); Leiden
- Maastricht University (UM); 26 Sep ’25 published
- Maastricht University (UM); today published
- Max Planck Society; Munich
- Nature Careers
- Princess Máxima Center for Pediatric Oncology
- Princess Máxima Center for Pediatric Oncology; Utrecht
- Radboud University Medical Center (Radboudumc); Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University; yesterday published
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Groningen; 26 Sep ’25 published
- University of Twente (UT); today published
- Utrecht University; today published
- Wageningen University & Research; today published
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advantage may arise. The focus of this project is to develop techniques that will enable gate-based quantum optimization algorithms to tackle realistic (large-scale, mixed-integer, and constrained) instances
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of this project is to develop techniques that will enable gate-based quantum optimization algorithms to tackle realistic (large-scale, mixed-integer, and constrained) instances of stochastic programming problems
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work hands-on with clinical data and build robust deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image
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In this role, you will help develop and implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical
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. Your work may involve formulating new models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance.
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navigation. Develop control and guidance systems for precision landings on moving platforms. Create algorithms to decode optical communication signals. Conduct real-world test flights to validate system
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computer vision algorithms for accurate landing navigation. Develop control and guidance systems for precision landings on moving platforms. Create algorithms to decode optical communication signals. Conduct
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, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor segmentation, enabling
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deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and