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the seismic data. The applicant will undertake all the necessary research and development of algorithms using modern machine learning libraries (mainly pytorch) and over the course of the project duration
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supervised by Prof. Dr. Roger Wattenhofer and Dr. Antonio Di Maio . You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but
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with disabilities. Location Omaha, NE Requisition Number: Staff_13904 Department FMP-Strategic Energy Initiatives 50000763 Business Unit Business & Finance Reg-Temp Full-Time Regular Work Schedule Varies
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with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux, and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo, Dr. Yang
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advertised on future job listings. Background The Research Fellow will be supervised by Prof. Christopher Quince (Earlham Institute/Norwich UK), Prof. Iain Chapple (Birmingham), Prof. Moritz Kebschull and Prof
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will work with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux, and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo
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with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux, and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo, Dr. Yang
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development of algorithms using modern machine learning libraries (mainly pytorch) and over the course of the project duration, the developed algorithms is expected to reach a medium to high TRL. The applicant
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. Builds internal code design and development guides for future contributors, Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use
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/Part Time Full-Time Regular/Temporary Regular Job Code 9792IF Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The University of Minnesota Department