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three courses in the fall term, two courses in the spring term, and one course in the summer term. A PhD in Computer Science, Software Engineering, Computer Engineering, or a related discipline is
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algorithms are desirable. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD and contribute to applied AI research. Excellent
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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for the Rural Spain: Adaptation of Large Language Models (LLMs) and Speech Recognizers to Rural Speech" (SI4/PJI/2024-00237), granted in the 2024 call for R&D Project Grants for Emerging PhDs by the Universidad
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working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems
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& Complexity group - Participation in the research seminar and group discussions - Supervision of interns and collaboration with PhD students The team has strong expertise in quantum algorithms and quantum
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical