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or papers. Knowledge of network placement optimization for various topologies, e.g., Erdos-Renyi random network, scale-free, small world, etc, will be advantageous. key Competencies: Understand existing
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optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open-source software and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning Demonstrated experience in developing, analyzing, and implementing
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, subjective evaluation, and AIoT implementation. Key Responsibilities: Writing, debugging, optimizing and testing of source code with an emphasis on audio applications Maintenance and improvement of existing
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milestones. Lead prototype development and performance optimization of the SERS biosensor system. Communicate research outcomes through technical reports, conference presentations, and scientific publications
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control and optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. Develop open
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research projects with strong industry relevance, focusing on product development, process optimization and food characterization. Key Responsibilities Lead bench formulation of mushroom‑based and plant
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 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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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