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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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package comprising predictive software, data analytics, and machine learning. The candidate will work closely with and report to the Software Architect of the research Center led by Dr. Xinfeng Gao. As a
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machine learning. The research associate is expected to conduct research on human-fires interactions in built environment. QUALIFICATION REQUIREMENTS: A PhD in atmospheric science, geography, environmental
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in support of a significant Department of Defense program led by Dr. James Stone, MD, PhD. The Stone Lab studies repetitive low-level blast exposure in military service members over their career
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in bioinformatics, statistics, data science, and machine learning to infer novel cell states, gene regulatory networks, and druggable protein targets. Enhance understanding of disease-associated genes
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. The role combines rigorous research methodology with advanced analytics, machine learning, and AI to evaluate interventions, improve care delivery, and support operational excellence. Candidates should have
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heart failure, hypertension, atherosclerosis, stroke, aneurysms, and vascular auto-immune diseases are the most common cause of death and disability in the United States, and account for approximately 30
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design. Teach a course in virtual and augmented reality with applications to civil and environmental engineering. Incorporate real-world scenarios into the course, allowing students to use state-of-the-art
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Technology and expand Center-related research lines in: · Use of machine learning methods for risk prediction, control, classification, and treatment progression · Metabolic and behavioral computer simulations
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world