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in close partnership with Prof. Mohammed Th. Hassan group at the University of Arizona and with the strong-field theory group of Prof. Carla Faria at UCL. The project is supported by the Division
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. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master various computer
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precursors of breast neoplasia progress to invasive breast cancer. They will be part of an interdisciplinary team of pathologists, immunologists, and computer scientists. The project builds on our previous
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distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
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quantitative modeling using R and/or Python. Experience with PK-modeling within NONMEM, R or Python environments. Strong general computer skills, with the ability to quickly master and implement innovative ML/AI
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of scientific principles. Strong molecular and cell biology techniques, as well as experience working with mouse and human models. Strong general computer skills, experience with databases and scientific
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to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $76,383 - $130,000 Position Overview We are seeking a Postdoctoral Researcher in Human-Computer Interaction to join Dr
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manuscripts. This position will be mostly computer-based but will have opportunities for field and laboratory measurements and the operation of analytical equipment. In addition, the candidate should be able
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, Speech & Hearing Sciences, or a related field. Substantial experience with at least one of the following: speech and audio processing, computer vision, eye tracking, or related computational methods