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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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software development, cloud computing, data engineering, algorithm design, or scalable computational workflows is a strong plus. Excellent written and verbal communication skills, with the ability to work
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for tumor behavior and clinical outcomes Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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initiatives, we educate and prepare future medical leaders and practitioners as part of our mission to ignite positive changes in the quality of health across the world. The CAUSALab in the Department
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RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages are not available or are not adequate. 2.) Apply
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proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets. Experience with AI/ML algorithms and prediction model development. Familiarity with
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. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
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settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
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Description The University of Rochester’s Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI) -- https://www.hajim.rochester.edu/dsc/index.html -- invites applications