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, this approach needs to be reconsidered and adapted for the developing brain. To do so, we will use high-quality MRI data in a large cohort of infants (N~1000), including subgroups with clinical conditions. Our
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, Search and Recommendation, Data Science, Machine Learning, and Big Data Analysis, Distributed Computing and Cybersecurity Human-Computer Interaction. SCT will fast-track digital innovation across all
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modeling, machine learning, or data-driven prediction methods applied to environmental datasets. Experience building and maintaining large, frequently updated archives of weather or climate observations
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, United States of America [map ] Subject Areas: Electrical and Computer Engineering / artificial intelligence , Artificial Intelligence and Machine Learning (AI/ML) Starting Date: 2026/01/01 Salary Range: $62,232-$80,000
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Learning and Data Analytics. You will have experience in composing project deliverables and delivering effective presentations and be able to assist in project integration workshops and other meetings. With
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, and training and benchmarking of language models. The research profile of the group is heavily machine-learning oriented, and the group has access to excellent HPC infrastructure. For more information
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: foundations of computer systems, fundamentals of computer vision, machine learning, and statistical methods in image and data analysis with applications in human behavior analysis, person re-identification
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either (computational) Bayesian methods, or statistical learning for complex data, unsupervised learning, or matrix factorization, is an advantage. Experience with management and analysis of large datasets
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://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://cruchagalab.wustl.edu/ . Research Projects: Plasma, CSF and Brain Proteomic analysis. Biomarker identification through the use of machine learning
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team