60 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Delft University of Technology (TU Delft)
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develop and maintain the software for this shared demonstrator vehicle. Job requirements Completed (or about to complete) a MSc degree related to any of: artificial intelligence, machine learning
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28 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Educational sciences » Education Educational sciences » Learning studies Engineering
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. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/357285/postdoc-reinforcement-learning-… Requirements Additional Information Website
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. Methodological Approach Candidates will develop and apply state-of-the-art machine learning techniques, including deep learning, representation learning, variational autoencoders, and graph-based models. A strong
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unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/358753/researcher-position/apply/ Requirements Additional Information Website for additional job details https
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physical). Solid background in programming and experience with machine learning. Knowledge of participatory design and co-creation methodologies. Ability to learn independently and passion for research
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NExTWORKx, the strategic partnership between the telecom and ICT service provider KPN and Delft University of Technology. Curious to learn more about the project? Feel free to visit our website , where you’ll
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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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evaluation, acoustical and electrical engineering, patient care, and commercial exploitation. Your academic training will be oriented towards both your hard and soft skills, and involves learning-on-the-job
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information about this assessment on our website about knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/358330/phd-position