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analysis. ● Prior work on kinase or other signaling-protein conformational dynamics, phosphorylation-driven activation, or allosteric regulation. ● Familiarity with machine learning and deep learning
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research career. Research and technical training Training will include hands-on work in the following areas: Developing and validating deep-learning and machine-learning models using echocardiography
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/Administrative Internal Number: 7319007 University of California Irvine Postdoctoral Researcher/Lab Scientist Deep Phenotyping Position overview Salary range: The salary range for this position is $66,737-$82,836
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. Extensive prior virology experience is not required. We are particularly interested in candidates with strong scientific fundamentals, intellectual curiosity, and the motivation to learn. Qualifications PhD
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in our collections or on view in our galleries. We seek an individual with a passion for teaching and interdisciplinary thinking; a deep commitment to object-based learning and inquiry; and a
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. - Strong expertise in multiscale/multiphysics modeling relevant to catalysis, and experience with machine learning models. - Deep understanding of reaction kinetics, thermodynamics, and structure-reactivity
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed before the position begins. Additional information
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for highly motivated postdoctoral candidates with a PhD in bioengineering deep knowledge in computational biology and machine learning. Candidates with a molecular biology or engineering degrees with
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%) Qualifications Required Qualifications: •PhD in biomedical engineering, psychiatry, neuroscience, physiology •Strong publication history and evidence of skill in MRI data acquisition and analysis •Ability