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(LC-MS), you will explore the occurrence, diversity, and transformation of PAs in food matrices. Your research will involve: developing sensitive and selective LC-MS methods using deuterated internal
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, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space
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; For remote sensing, design and validation of on-board processing functions/algorithms for payload data products, image processing and optical payload data compression; Related end-to-end performance assessment
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group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, indexes for interactive data analysis
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the broad area of analytical database management systems. Our research group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods
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, model compression, transfer learning, natural language processing, large language models, trustworthiness (explainable AI, uncertainty quantification, surrogate models) and experience in one or more of