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Field
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the design, development, implementation, and analysis of technical products and systems. * Performs multiple engineering-related tasks in various assignments within the organization. * Optimizes and extends
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from multiple systems and sources to answer key operational questions. Deep experience using a variety of data mining/data analysis methods to build and implement dashboards, models and algorithms
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, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions for the quantum-classical control and readout interface, and all the way
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores
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to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally (may include travel to test sites for specific test events). Implement research grade
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, developing knowledge, methods, and transferable software for the simulation and comprehensive sustainability assessment of socio-economic systems. Its purpose is to foster sustainable eco-innovation, through
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optimizing algorithms, supporting HPC- and data-intensive workflows, and contributing to the development and evaluation of emerging technologies in high-performance computing, data analytics, and
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. The successful candidate will lead the computational efforts of developing and applying methods for applying proteomics and genetics data collected in situ for integrative structure modeling. Critical aspects
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is involved in the DUNE project with a broad range of responsibilities in detector construction, modelling and software development. This PhD project will focus on the development of a methodology for