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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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, algorithm development, and data analysis. Why should I apply? This fellowship provides the opportunity to independently utilize your skills and engage with experts in innovative ideas to move the proposed
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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0038-NPP-NOV25-GRC-Aero How to Apply All applications must be submitted in Zintellect Please visit the NASA
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utilizing existing and upcoming sensor deployments. The opportunity will include a range of activities and experiences including data collection, image analysis, workflow/algorithm development, sensor testing
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? Under the guidance of a mentor and as the selected candidate, you will learn how to apply algorithms to predict parts of coding and noncoding sequences for optimization. As a result, designed mRNA
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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control systems and thermal protection for on-board actuation systems. The candidate will have a deep knowledge of smart material based actuators, mechanisms, advanced control algorithms, and thermal
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hardware implementing Deep Reinforcement Learning algorithms for the tactical arena. Additionally, High Level Synthesis (HLS) will be incorporated to obtain hardware designs optimized for various criteria
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Fusion of information from heterogeneous sensors for robot missions Optimization of complex algorithms for computationally limited platforms Experimentation and validation methods in robotics Adaptive