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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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-dimensional statistics, semiparametric/nonparametric methods, change-point problems, signal processing, Bayesian statistics and machine learning. Candidates must have a PhD in Statistics, Biostatistics, or a
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formula. Preferred Qualifications Familiarity with Python, R and MATLAB. Experience with machine learning/deep learning. Master’s degree in a related field. PhD or near to completion of a PhD (or equivalent
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are internationally recognized in research areas including software engineering, data science, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems. The department is housed within
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on the use of Machine Learning algorithms for rapid damage assessment. Research topics could focus on: the definition and use of novel damage sensitive features, physics informed machine learning, transfer
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Pythonis; and experience with tokamak physics or machine learning techniques. The appointment will be for two years with the possibility of renewal based upon satisfactory job performance. Application
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-track Assistant or tenured Associate Professor position with strong background in bioinformatics, such as statistical, machine learning and AI methods for immuno-oncology, single cell, spatial, and multi
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to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated
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disorders. Expertise in human immunology, machine learning/AI approaches, and novel functional genomics technologies are also highly valued. The primary criteria for selection will be excellence and