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This is a two (2) year 100% Contract position. This appointment may be extended or converted to career status based on the needs and funding of the department. The CW3E machine learning team is
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. Under the direction of cognizant Federal personnel, participating researchers have opportunities to learn how to lead tasks, explore new research areas for DHS, and participate in networking opportunities
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We are seeking a talented scientist to join the Statistical and Machine Learning team at the Regeneron Genetic Center (RGC). The mission of the team is to develop new methods and implement pipelines
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of multi-institutional research projects. The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in
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The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team
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The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team
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organ-on-a-chip (OOC) models, colony picking and bioprinting). The ideal candidate should have strong expertise performing machine learning (ML), computational biology with the capability and/or
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. Under the direction of cognizant Federal personnel, participating researchers have opportunities to learn how to lead tasks, explore new research areas for DHS, and participate in networking opportunities
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for drone swarms. The role will focus on visual localization techniques. Key Responsibilities: Develop
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Academic Job Category Faculty Non Bargaining Job Title Research Associate in Machine Learning Department Research | Gsponer | Michael Smith Laboratories | Faculty of Science (Joerg Gsponer) Posting