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Field
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electricity markets; conducting research in nonlinear, convex, and mixed-integer nonlinear optimization; designing and implementing advanced computational and algorithmic solutions; performing computational
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, retrieval algorithm, applications in hydrology) and will benefit from their knowledge and experience on the mission. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5126-ARNMIA-005
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for this position is $55,000–$70,000 CAD per year. The Michael Smith Laboratories and the Department of Computer Science at the University of British Columbia (UBC) in Vancouver, Canada, invite applications for a
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Engineering, under the leadership of Professor André van Schaik, one of the pioneers of the field of Neuromorphic Engineering. ICNS collaborates across the departments of Computer Science and Electrical and
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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required. § The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms is required
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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Division/Team: Department of Computer Science Hours Per Week: Full Time (1 FTE) Closing date (DD/MM/YYYY): 02/02/2026 Contract Duration: 24 Months School/Directorate: School of Engineering About the Role
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-inspired selection). 3-Investigate the integration of QIEC with Quality-Diversity (QD) algorithms such as MAP-Elites.(month 2-3) 4-Explore the use of Evolutionary Computation to generate and optimize quantum
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Research Framework Programme? Not funded by a EU programme Reference Number 2024.14662.PEX Is the Job related to staff position within a Research Infrastructure? No Offer Description 1 (one) Research