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single synthetic program of computational geometry. Specific interests include morphology, design topology, discrete differential geometry, packings, and machine learning methods for unstructured geometric
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-12 units dedicated to global arts and cultures in the Museum’s collections. Design materials that build connections with the New York State Common Core Learning Standards and may incorporate elements
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multimodality imaging including PET/CT, SPECT/CT, and PET/MRI with a focus on integrating machine learning techniques. The appointment will be two years from the date of hire with a possibility of extension
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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platform that utilizes deep learning to analyze images of bruises. Responsibilities: Responsible for developing components of the project platform or deep learning application; Supervises a team of graduate
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algorithm development, modeling machine learning, and scientific simulation ▪ Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists ▪ Strong oral and written
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. Conceptually, this includes data from a single experiment (regularization), across two experiments (registration), and for analyzing large datasets (statistical analysis and machine learning). This development
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bioinformatics facilities already available in our Centre together with substantial investment in bioinformatics staff, data storage and computer processing power. TRACERx has been highly successful, as of 2023
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midlife brain function and cognition. The applicant should be interested in applying multivariate and machine learning neuroimaging methods to the study of how chronological ageing, biological sex, and