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Field
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associated with phenotypic (biomechanical and metabolomics) traits. Estimate locus-specific effect sizes and quantifying genetically-driven phenotypic variations. Develop Bayesian models and/or deep learning
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to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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, less dependent on a strict observation model, and better adapted to both interferences and very low SNRs. Objective – Topic 1: Explore how the statistics and geometry of noise in the time–frequency
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
process in a more systematic way. Science systems engineering focuses on ensuring alignment between the design and operation of an engineered system and its top-level science objectives, but there has not
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig economies and prediction markets. Opportunity to supervise research students and work as part of a
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 25 days ago
on models uncertainty. Currently, Breed method uses importance sampling technique and loss statistics. In the beginning, the objective is to get familiar with the domain and read about existing work
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consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and
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consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and
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design, such as Bayesian Adaptive Clinical trial design or established expertise in statistical methods such as structural equation modeling, causal data analysis. Experience in serving in protocol review
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objectives. Troubleshoot analytical methods. Acquire, organize, and curate relevant datasets needed for statistical analyses. Oversee project activities, including potential supervision of student workers