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Field
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
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: Proficiency in algorithm development for autonomous systems. Experience with ROS2, UAV simulation (e.g., AirSim), and real-time system integration. Strong programming skills in C++ and Python. Excellent
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, establish advanced manufacturing routes for these polymers and implement computational algorithms to assist their optimization. The RISE Polymer Lab is dedicated to developing the next generation of robust
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at FIU to uplift and accelerate learner success in a global city by focusing in the areas of environment, health, innovation, and justice. Today, FIU has two campuses and multiple centers. FIU serves a
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
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, modeling, and analysis for the SCHOLAR project. Develop and deploy the SCHOLAR dashboard, incorporating CHW feedback through multiple design iterations. Collaborate with CHWs and senior research personnel
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical