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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
collaborative research environment that combines expertise in genomics, computational biology, and evolutionary genetics. Research Responsibilities The successful candidate will: Develop and optimize ancient DNA
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participate in the design and optimize processes to improve ingredient functionality, create distinctive flavors, and eliminate off tastes. Learning Objectives: You will be able to learn from multi-disciplinary
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improved soil quality Incorporating novel approaches to soilborne pest management into existing production systems Optimizing production systems to maximize product quality and nutrition Learning Objectives
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establishing and optimizing long-term molluscan cell culture systems and advancing next-generation in vitro models for fundamental and translational research. Position Description · Develop, optimize, and
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to optimize cellular performance. The Fellow will develop an independent research project aligned with the broader goals of the collaboration and will have opportunities to lead publications, make scientific
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with experimental and clinical teams to interpret results and translate findings into actionable insights. Design and optimize predictive models of drug response, including the use of digital twin
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and apply advanced methods in automated treatment planning, artificial intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | about 20 hours ago
of new in vitro methods to detect and measure venom components, and to optimizing antivenom potency assessment Acquire experience in venomics and ecological effects that cause variability in species
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support systems, protective clothing, precision airdrop systems, and ballistic, chemical and laser-protection systems, and human performance optimization. About ORISE This program, administered by Oak Ridge
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will work across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and