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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 24 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
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Bay. The key responsibilities of this role include; Using a combination of automated algorithms and manual data processing to identify bottlenose dolphin signature whistles in a multi-year acoustic
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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effects in economic decision-making, and other topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis
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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 12 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
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of Business and NYU Shanghai are excited to announce an open call for Postdoctoral Fellowship applications. The position is expected to start in Fall 2025 and will be under the supervision of Profs. Bruno
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Overview The University of Minnesota’s (UMN) IGDI Lab (IGDI-Lab) seeks a candidate to fill one
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multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in