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designed work schedules can contribute to traffic accidents leading to injuries or fatalities. Everyday driving in suboptimal static postures may also lead to musculoskeletal problems. Discomfort can
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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, scalability, resilience regarding platform architectures, and algorithm performance for AI/ML. The thematic areas addressed are the future smart energy solutions, connected/smart properties, which include
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scheduling in shared workspaces - Shared autonomy and predictive learning - Human-robot teaming in distributed decision-making Sensing and perception - Collaborative perception and localization - Learning
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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: Experience in tree breeding, knowledge of selection algorithms/predictive models, programming skills, experience in breeding simulation, first authorship, conference presentations, strong problem-solving
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the theory of optimization algorithms and high-dimensional statistics to address some of the most fundamental questions in ML such as the behavior of neural networks. The environment of this project is highly
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strengthen your application: Experience with computational ship hydrodynamics Experience with STAR-CCM+ and Abaqus Knowledge of Control Algorithms (e.g. PID controller) Knowledge of Reduced Ordered Models What
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm