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matter expertise supporting the development of new studies, modeling and simulation, and algorithms. The Post-Doctoral Fellow will work along with the Division Chief and research managers in the Nuclear
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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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three years The candidate will hold primary responsibility for designing novel algorithmic frameworks, coordinating multi-institutional research networks, and translating real-world health data
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 7 hours ago
to minimize algorithmic bias. Develop expertise in evaluating AI devices that can adapt and learn post-deployment, including understanding evolving algorithms and creating methodologies to assess algorithm
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autonomous surgical robotics. The successful candidate will lead the research and development of novel surgical tools and robotic systems for autonomous surgical interventions. The fellow will focus
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
. The position aims to develop novel algorithms, improve model efficiency and performance, and translate theoretical advances into practical solutions across relevant domains. The Fellow will contribute
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. In this position, your primary task will be to lead the development of algorithms, software, and hardware to extend the current HAUCS framework. This includes developing the sensors, sensing robotic
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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hospitals. PRIMARY DUTIES AND RESPONSIBILITIES: The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 8 hours ago
advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition, and participating in developing standardized computational frameworks for regulatory