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Field
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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and/or vision science Experience with Javascript, development of web apps and database architecture is a plus but not required Desire to work in a fast paced, collaborative team-science environment
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Genetics to join our team. Our mission is to advance the understanding of the genetic architecture of complex human diseases and traits, enhance our ability to predict disease, target prevention efforts in
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| Ophthalmology We are seeking a Postdoc with strong bioinformatics / Statistical Genetics skills to join us. Our mission is to advance the understanding of the genetic architecture of complex human diseases and
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sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis
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opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated
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familiarity with DMS and DERMS functionalities and architectures; evaluate and enhance operational schemes under high DER penetration. Model microgrids in distribution networks including dynamic and steady
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
models. We focus on creating organoids with precise cell types, architecture, and functions that closely mirror their in vivo counterparts. Our mission is to harness these advanced models to unravel
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene