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, brain diseases, cancer, et al., through novel statistical or deep learning methods development and application. The postdoctoral associate will be exposed to rich multi-omics data, a variety of diseases
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. Minimum Requirements: Required Qualifications: • A PhD degree in Electrical Engineering, Computer Science, Biomedical Engineering, Bioinformatics, or related fields. • Research experience in deep learning
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. Mingjie Liu, focusing on the development and implementation in advanced machine learning and deep learning models to predict new materials and molecule properties. This one-year appointment is renewable
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://biostat.ufl.edu/ ) is accepting applications for a fully-funded postdoctoral associate position. This position, available immediately, focuses on developing statistical, machine learning and deep learning methods
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multiple projects in machine learning and deep learning on medical image and genomics datasets. Thus, the candidate will have great opportunities to participate on AI and machine learning applications
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setting Demonstrated experience with deep learning-based models relevant to computer vision, such as Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and/or Transformers Demonstrated
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able to work effectively across multidisciplinary teams and diverse populations. To learn more about our college, our leadership and our campus, please visit us at https://med.jax.ufl.edu/about/ . With
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://biostat.ufl.edu/ ) is accepting applications for a fully-funded postdoctoral associate position. This position, available immediately, focuses on developing statistical, machine learning and deep learning methods
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. The successful candidate will lead the graduate lighting program, grow a robust BFA lighting production program, and actively participate in our learning community while finding innovative ways to engage in
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conservation. Examples of qualified candidates include: 1) those who apply and/or develop tools in artificial intelligence disciplines (deep learning, neural networks, machine learning, natural