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Field
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algorithms, creating software, and investigating new approaches and technologies. Assists with the development of conceptual project design and instrumentation, software programs, and data collection methods
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planning algorithms to real hardware to simulate multibody 0g space dynamics. Candidates with demonstrated experience with robotic algorithms and writing software for robotic hardware will be prioritized
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the execution of the following tasks related to modelling the incineration process of the pilot units, with the following main objectives: - development of evolving algorithms based on Machine Learning
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management expertise to support a workgroup of researchers using satellite algorithm-based models to track marine environmental conditions, generate habitat distribution maps, and produce forecasts
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(HPC) best practices, advanced mathematical research into novel algorithms, and the utilization of machine learning techniques for code acceleration and the development of reduced-order "surrogate
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data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application
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on using unstructured and overset meshes with high-fidelity algorithms to obtain scale-resolved data. Candidate will also post-process data using data-driven and physics-driven methods to extract fundamental
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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Position Location: Richmond Campus Driver Classification: Non-Driver FLSA: Exempt Schedule Type: Full Time (37.5 hrs per week or more) Hours Per Week: 37.5 Additional Schedule Details: Posted Salary Grade
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Hunger Lab at Tilburg University, and four industry partners. In this project, you will develop and advance optimization models and algorithms to support decision-making in food supply chains, with