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cancer. Work in the lab utilizes both genetically engineered mouse models and in vitro systems. A combination of state-of-the-art surgical, genetic, cellular, biochemical, imaging, and metabolic flux
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Act Annual Security Reports Academic RECRUIT Personnel System University of California, Los Angeles Accessibility About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2026
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
About California Consumer Privacy Act (CCPA) Opt-Out Icon Privacy Policy © 2007-2026 The Regents of the University of California. All rights reserved.
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techniques including patch clamp electrophysiology, confocal and two-photon imaging, molecular biology and biochemistry, and behavioral assays. Purpose To provide research support in the lab of Dr. Amy Lee
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research prototype). What was the input, what did the model produce, and how did you handle the gap between model output quality and what a real user actually needed? We are looking for evidence of practical
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the nonlinear Hall effect, could potentially explain the observed experimental OR current. Using experimental probes such as x-ray and other material analysis techniques, imaging, probe-based microscopy, visible
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laboratory facility and a preclinical imaging facility. Trainees can gain hands-on experience with cutting edge instrumentation while working with an outstanding group of technical and health physics support
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
to harness organ-on-a-chip technology to study metastatic dissemination in gastric cancer. We propose a xurography-based technology to fabricate a prototype of a multi-organ-on-a-chip microfluidics platform
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or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and
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the following main activities:; 1. Design and implementation of the SQL-to-eBPF compiler: definition of the architecture that translates SQL queries into eBPF programs, and implementation of a prototype capable