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artificial intelligence to atrial fibrillation and associated comorbidities, collaborating with Cardiology researchers to support the development and evaluation of artificial intelligence algorithms
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About the Opportunity POSITION SUMMARY You will develop, implement, and validate AI scoring systems that evaluate student transcripts using research-validated rubrics. This role combines natural
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, contribute to cutting-edge research in the field of emerging sensing technology, and research publications. Develop, test and evaluate novel AI algorithms to advance multi-modal sensing in resource constrained
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prediction algorithm and molecular dynamics simulations. For more details, please view https://www.huilingshaogroup.com/. We are looking for a Postdoctoral Research Fellow to design and execute independent and
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
. Lab Research: • AI-Driven Algorithms & Software: Develop deep leering/machine learning/statistical based algorithms to elucidate lncRNAs, fusion transcripts, RNA modifications, and circular RNAs in
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. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
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experimental research as well as data analysis and algorithm development. Students with either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience
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projects; knowledge of the English language. III. Work Plan: …………………………………………………………………………………………………………………. Work Plan PT1 — Development and prototyping of visitor monitoring stations • Design and assembly
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(ISAC). Responsibilities: Lead the design, setup, and execution of ISAC channel measurement campaigns across multiple environments, hardware platforms, and frequency bands Develop, validate, and document
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constraints in local energy market simulations. The developed methods shall then be evaluated in suitable scenarios with respect to selected technical, economic, and system-related indicators. This leads in