25 phd-studenship-in-computer-vision-and-machine-learning PhD positions at Delft University of Technology (TU Delft)
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strong academic record with a solid background in Machine Learning (Deep Learning, generative models, diffusion models). Knowledge in sensor data processing and radaris a plus. Good programming skills
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some academic research experience post-Master level. Demonstrable affinity with archival sources. Strong skills in GIS-based research, additional experience with computer vision and machine learning is a
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, computational fluid mechanics, high-performance computing, and physics-informed machine learning. Affinity with physics-informed machine learning, computational VVUQ (verification, validation, and uncertainty
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access to the compute resources of TU Delft, ranging from personal machines, to shared GPU servers, the Delft AI Cluster that is shared across departments, as well as DelftBlue, which is one of the top 250
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, combining experimental approaches (single molecule fluorescence and biochemistry) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning
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Job related to staff position within a Research Infrastructure? No Offer Description Join us in shaping the future of quantum computing! Job description At QuTech , we have several PhD student
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the power of data and machine learning! Job Description We are seeking a highly motivated PhD candidate to join our research team focused on Collaborative Metadata Management for Large Data Repositories
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Deadline 21 Apr 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Deadline 23 Mar 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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; Collaborate with interdisciplinary teams for example: the Design Data and Society research group, architects in practice, data scientists, ecologists, and human-computer interaction specialists; Publish