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integration and advanced signal processing algorithms for structural and functional imaging, in order to deliver clinically relevant prototypes, high-quality publications, and translational outcomes for the
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Analysis and Demand-Side Policy , funded by the Swedish Research Council Formas (2026–2030). The project is conducted in collaboration with KTH (Professor Göran Finnveden), Statistics Sweden, and the
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to closely collaborate with CS faculty members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience
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contribute to analyses and processing of data. They will become familiar with high performance computing environments and parallel processing, as well as cloud computing infrastructure. They will
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Center (HT- RDS Center). The applicant would be responsible for designing and developing workflows for automated, micro-scale parallel experimentation. These workflows will be used for the
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statistical mechanical theory to analyze the simulation results Basic understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred
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scientific excellence in the areas of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate
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single-mode and multimode semiconductor laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where
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team integrates innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel
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, who leads the Speech Synthesis research group at Aalto University. The group works on deep generative models for speech and audio, speech synthesis, differentiable signal processing, deepfake