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features. No cookies to display. Reject Save My Preferences Accept Skip to content Postdoc in Bioinformatics and Machine Learning Chalmers Share: Facebook Twitter LinkedIn Email Application deadline
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learning or computer vision conferences (NeurIPS, ICML, ICLR, CVPR, AISTATS etc.) are highly meriting. Expertise in Bayesian methods, generative models, multimodal models, world models or simulation
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biology, protein engineering, biochemistry. Building quantitative models: Using high-throughput binding data to build sequence dependent predictive deep learning models, and physical mechanistic models
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obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. Documented experience in machine learning, in particular deep
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at the Division of Molecular Medicine and Virology , Department of Biomedical and Clinical Sciences, at the Medical Faculty of LiU. The Lab is also part of the Wallenberg Center for Molecular Medicine