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Algorithm Developer (KTP Associate) ( Job Number: 25001803) Department of Mathematical Sciences Grade 7: - £41,064 - £46,049 per annum Fixed Term - Full Time Contract Duration: 18 months Contracted
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information theory. Interested in quantum algorithm and quantum informatic research that cuts across the different subareas of physics. Able to work closely and communicate effectively with colleagues focused
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-based reconstruction algorithms and image analysis pipelines. These approaches will provide highly efficient high-dimensional MRI image acquisition and reconstruction. We seek an enthusiastic and
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allow brute-force exploration it is important to select the most informative experiments. Bayesian optimization, an iterative global optimization algorithm, has been shown to be a more efficient in
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. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms for adaptive HDR brachytherapy. Integrate real-time adaptive planning capabilities into an in-house treatment planning system
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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
focus on improving biosignal analysis through signal processing and advanced algorithms, identifying predictors of adverse outcomes, using biosignals to improve physiologic understanding and leveraging
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eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes . We offer - The opportunity to do fundamental research - A world class
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in both instrument and algorithm technologies. The researcher will contribute to the development of the project’s research lines within the macro-themes “Resilience to extremes” and “Sustainable water
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to ensure that the developed notations and algorithms address the companies’ needs. More about the related project can be found here: https://innovationsfonden.dk/da/news-article/ai-skal-forudsige-og-forklare
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graduate students, etc. In particular, the MLE hired for this position will work with Ayan Paul and Hyunju Kim at EAI and is expected to develop AI algorithms for drug synergies with a combination of public