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. Methodologically, you will explore advanced deep learning approaches, including convolutional and transformer-based architectures, as well as methods for modeling temporal dynamics in longitudinal imaging and omics
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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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and Education (CODE) section, at University of Twnete, working closely with AI specialists and data scientists. Methodologically, you will explore advanced deep learning approaches, including
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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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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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from serial MRI scans in the future, which are processed using deep-learning techniques in the group of Prof. Boudewijn and Dr. Stoel. Your analyses will contribute to understanding how systemic 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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of machine learning (including deep learning) algorithms to predict links between gene clusters and metabolites, and to predict antimicrobial activities associated with these Collaboration with international
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, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent in spoken and written English. Good communication skills