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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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the PhD requirements within the project framework. This helps us understand your thought process, technical perspective, and approach to problem-solving. • Contact details of two referees • Bachelor’s
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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by our motto of “CS for Everyone.” About the Opportunity The Khoury College of Computer Sciences seeks a Distinguished Research Fellow to establish and lead an independent research program. The
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/Administrative Internal Number: JR93136 Scheduled Hours 40 Position Summary There is a research opportunity in the laboratory of Tom Foutz, MD, PhD. We are looking for an enthusiastic candidate to join our
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, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally characterize their electromagnetic
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communication skills in English (see https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 ) Desired qualifications: Although not being strict requirements, the following qualification
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obtaining a PhD Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SIMLab (https://www.ntnu.edu
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and propose meaningful and testable hypotheses, grounded in disease biology. Perform end‑to‑end processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 15 hours ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and