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Field
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language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for a postdoc researcher to join our research team and contribute
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damage evolution from pristine to end-of-life and establishing ground truth via inspections. Develop deep learning pipelines for fault detection, damage-type classification, health indicator extraction
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, or any another relevant discipline. Have interest and experience with deep learning and image analysis. Have interest and
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, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion/transformers), multimodal representation learning, and experience in
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(completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative modelling (diffusion
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avenues, with natural curiosity and a passion for new subjects and research areas; Experience with one or more general purpose programming languages, for example Python, and general purpose deep learning
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languages, for example Python, and general purpose deep learning frameworks, such as Tensorflow or PyTorch; The interest and ability to share knowledge with other ESA organisational units. You should also
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; Experience with general purpose deep learning frameworks, such as Tensorflow or PyTorch; Record of relevant coding experiences relevant to the job description; Experience with HPC tools (e.g., MPI, SLURM, etc