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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
are preferred: Direct research experience with the cardiac metabolism research. Experience with mouse models and echocardiographic/hemodynamic phenotyping. Proficiency in standard molecular and biochemical
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): measure key parameters such as luminosity and nickel masses for thousands of transients from TiDES + follow-up data to build population demographics, and use hundreds of live TDEs and thousands of host
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Focus: Investigates how illiberal governance models inspired by Russian practices diffuse to and are adapted by political actors across Europe. Description: This project investigates the rise
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design authority for the university’s identity target state. The position defines identity architecture, standards, source-of-authority decisions, lifecycle models, federation strategy, authorization
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. We are looking for an ambitious postdoctoral researcher to establish their therapeutic potential in advanced in vivo cancer models. You will determine efficacy, mechanism of action and tumour
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outages can be reproduced realistically. Validate each model independently and integrate it into the UTOPYS transmission backbone as a higher-fidelity drop-in replacement, using its standard interfaces
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Programmer Analyst applies deep technical expertise to solve complex problems, leads the development of AI standards and best practices, and ensures all solutions align with institutional policy, data
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patient outcomes. More information about the lab can be found here: https://www.nathlab.org As a successful candidate, you will: Develop AI/ML models to predict patient outcomes, treatment response, disease
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suitable conditions for ecosystem recovery. We aim to develop state-of-the-art, modular, scalable and adaptable solutions that set a new standard in estuarine and riverbank protection. The project brings
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, to develop solutions for predicting risk in international-scale financial markets. The project is developing event-triggered artificial intelligence approaches that complement existing financial risk models