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person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial
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watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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. Postdoctoral Associate – Regenerative CAR T Therapy for Duchenne Muscular Dystrophy This Postdoctoral Associate will serve on a project focused on developing regenerative CAR T-based therapeutic strategies
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong analytical skills and experience on omics data, and basic understanding of biology to study therapy
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, walking, reaching, kneeling, talking and hearing. Ability to lift up to 25 lbs. WORK ENVIRONMENT: Scientific research laboratory. Computer data input. Universal safety precautions are mandatory. Lab
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looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction
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development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the development, implementation, and
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Job Description Applications are invited for a full-time Postdoctoral Research Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless@Virginia Tech
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
); and propagation of physics-traceable soil moisture uncertainty into precipitation estimates. Machine learning approaches are welcome as tools within this framework — for example, learning the space–time