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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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measurements Calibration of materials as sensors to measure temperature, oxygen, and pH values in cells Development of models based on artificial intelligence algorithms to interpret luminescence signals Study
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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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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
, and biostatisticians. We seek a data scientist to join our team to develop AI/ML-based algorithms to support clinical decision making, hospital performance improvement efforts, and more. This position
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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 imaging. Within our research
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the evaluation of converter and drive architectures for edge-resident intelligence; the development of advanced modulation, estimation and control algorithms for high-performance operation; and the integration
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Sciences. Essential & Desirable Criteria Essential A PhD (or about to obtain) in chemistry, chemical engineering (strong chemistry focus), or equivalent research, industrial, or commercial experience
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in computing research and education. Its faculty have pioneered advances in areas including programming languages, hardware design, algorithms, databases, security and privacy, bioinformatics and
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Engineering or related fields. RECIPIENT CATEGORY: Degree courses: Students enrolled in a PhD. Non-conferring degrees courses: Masters enrolled in non-academic degree courses. CANDIDATES PROFILE / CANDIDATE
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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