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Field
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to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and
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fluency in both spoken and written English Familiarity with machine learning, information theory and signal processing. Experience with algorithm development Familiarity with basic molecular biology
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offers the opportunity to help shape the development of future mobile communication systems in a prosperous and dynamic environment, to gain valuable project experience and to establish and deepen contacts
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and interpretation. Prominent examples include time sequences on groups and manifolds, time sequences of graphs, and graph signals. The objectives The project aims to develop unsupervised online CPD
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appropriate. Organize and Maintain tools and equipment. Conduct research to advance hardware, software, and techniques to develop computational algorithms and statistical methods that find patterns and
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Your Job: Agile development, maintenance, coordination, testing, distribution and deployment of the open-source, community-driven Elephant neural data analysis software - https://python-elephant.org
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exchange, and curriculum development. Whether you are an experienced industry practitioner with professional qualifications or an academic seeking to drive innovation, these positions offer a unique
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the development of more efficient online learning algorithms for manifold-valued data streams, with an initial focus on change-point detection, opening the door to new unsupervised data exploration methods. Next
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking a Research Associate to join MMLab@NTU. Successful candidates will conduct research and develop
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for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography