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Field
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methods to quantify the propagation of domain uncertainties in cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration
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. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and Raman spectroscopy. The project offers a
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. By combining methods from human-computer interaction, clinical informatics, and artificial intelligence, we aim to create systems that enhance reasoning, surface relevant information at the bedside
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for Safe and Secure AI Robotics is looking to hire a post-doctoral associate to carry out research in deep learning methods for robotics. Single robots and swarms are both within the scope of the project
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of Information & Computer Sciences About UMass Amherst The flagship of the Commonwealth, the University of Massachusetts Amherst is a nationally ranked public land-grant research university that seeks to expand
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broad experience in the development of electronic structure methods and their application in order to perform atomistic simulations of molecules and materials. These include (but are not restricted
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plasma channels, and methods for controlling injection of electrons into laser-driven plasma wakefields. This work will be undertaken within the research groups led by Prof. Simon Hooker (Oxford), in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Dependent upon Qualifications Proposed Start Date 09/01/2025 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research
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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future