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13 Dec 2025 Job Information Organisation/Company Karlstads universitet Department Karlstad University / Handelshögskolan Research Field Information science » Information management Researcher
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 15 hours ago
, learning-enabled computer architectures, cloud and edge computing, hardware security, embedded systems, and systems software. Candidates with collaborative research focus are encouraged. Candidates should be
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation, computer vision and graphics, and bioinformatics
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). Optimize the databases linked to the data spaces, ensuring system scalability and reliability in a cloud environment. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements
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Required PhD in Computer Science, Animal Science, Agricultural Economics, or relevant field and/or experience conducting similar work Proficiency in programming languages (Python, R) and database systems
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OR Statistical/AI/ML method development applied to biological data. Proficiency in programming languages and working with high-performance or cloud computing environments. Practical experience with sequencing
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collaborate with us on ambitious formalisation projects. An ideal candidate: holds a PhD degree in computer science, or a PhD degree in mathematics, or equivalent; has a research track record at a high
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2025-09541 Requirements Skills/Qualifications Eligible candidates should have a PhD in computer science. Experience in formal methods or in
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at the intersection of quantum computing, computer science, and parallel computing research, with access to HPC clusters, cloud platforms, and quantum computer hardware. Supervision: Associate Professor Ivy Peng is