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education (co-op) program in the country with students earning $94 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes
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seminars, workshops, or training activities aligned with the project. Who we are looking for - Selection Criteria: Essential PhD (or equivalent) in Computer Science, Software Engineering, Artificial
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We invite applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims
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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
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. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and prepares them to become exceptional
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 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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PhD Positions Country Denmark Application Deadline 1 Dec 2025 - 23:59 (Europe/Copenhagen) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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computing structures (cloud, distributed systems, big data platforms); Actively engage students in applying concepts using real-world datasets, programming assignments, and industry-relevant technologies
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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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reinforcement learning for edge-cloud-based computation. In both cases, vehicles and robots must be able to navigate around obstacles and manage safety constraints along the planned trajectory, even in situations