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Vacancies PhD Position in Algorithmic Energy Trading Key takeaways In recent years, the energy sector has undergone changes that have a high impact on the dynamics in power markets. One
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algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement learning. Deep
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-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
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, contact: Dr. habil Celal Soyarslan : +31 5 3489 7499 | c.soyarslan@utwente.nl Interviews (online or in-person) will be scheduled shortly after the deadline. Screening is part of the selection process.
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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The research will address key challenges and explore the following areas: 1. Decentralized Scheduling Algorithms: Design algorithms for operational scheduling and rescheduling of shared assets in connected
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interviews are scheduled for October 6th, 2025 preferably in person at the campus of the University of Twente. A second round may be part of the procedure. We aim for this project to start January 1st, 2026
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uploaded per application, please combine documents if needed. An interview and a scientific presentation will be part of the selection procedure. The first selection interviews are scheduled for October 6th