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computing and machine/deep learning methods. Their scope may include image segmentation, image registration, disease screening and diagnosis, discovery of new image-based biomarkers, quantitative image-based
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, Machine learning, Biomedical Informatics or related fields Preferred Qualifications: Experience in developing and training NLP/deep learning models on GPUs (with framework such as PyTorch, tensorflow
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the department of Computer Science Engineering at CU Denver. Working Title Postdoctoral Fellow What you will do: Implement and evaluate deep reinforcement learning (DRL) systems to assist in developing explanation
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of deconvolution algorithms, have estimated demographic factors associated with scientists who get quoted in Nature’s news content, have examined the extent to which deep learning is necessary for certain problems
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. Experience with deep learning techniques and software packages such as PyTorch or similar. Experience in statistical genetics methods, such as genome-wide association studies (GWAS), transcription-wide