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available: https://www.fields.utoronto.ca/activities/26-27/quantum-algorithms-QADE . Successful applicants will be provided with funding to join the program in Ontario for 4-6 months. These Long Term Visitor
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
– Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time
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. Nationality restrictions This funding is available to all nationalities. Application procedure Candidates should submit a PhD application for the PhD Business & Management , and indicate that they wish to be
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Intelligence algorithms for the fashion industry, including predictive models for sales and trend forecasting, multimodal generative models for visual and textual content analysis, and decision-support systems
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the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of mathematical models and Artificial Intelligence algorithms
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anything else requested in the fellowship description. Further Info: http://www.fields.utoronto.ca/activities/26-27/quantum-algorithms-QADE 222 College Street 2nd floor Toronto, Ontario Canada M5T 3J1
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Deep learning for phase-contrast synchrotron X-ray tomography Reference code: 2026
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experimental settings. In addition to fieldwork, the PhD candidate will contribute to the development of novel inversion algorithms for EMI and GPR based on full-waveform inversion techniques. These methods aim