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Field
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Summary The Boyd Computational Social Science Lab is seeking a highly motivated post-doctoral scientist who is passionate about exploring the intersection of computational methods (e.g., machine learning
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and conduct empirical studies integrating computational and psychological approaches, drawing on methods from text analysis, machine learning, and AI. Develop novel tools, algorithms, or pipelines
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Nevada Sagebrush. In a modern media landscape, video and audio content is more valuable than ever, especially on social media. As algorithms prioritize visual content, the production of multimedia content
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
(clinical and laboratory-based). The candate should use skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies
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, Operating Systems, Theoretical Computer Science, Computer Graphics, Virtual Reality/Augmented Reality, Software Engineering, Database Systems, Algorithms, Artificial Intelligence. Taught at least 10 class
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
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of the following: Ecosystem Modeling, Machine Learning, Microbiome, Microbial Ecology, Soil Science, or Computational Biology. The positions are for several different projects, including the following: (P1
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, Biotechnology, Immunology & Inflammatory Disease, Medical Genetics & Genomics, Precision Medicine. Project description: Mutations in genes encoding mitochondrial OXPHOS components often cause devastating diseases
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personalizable computer replica of the immune system – to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its future ability to respond to diseases. Why
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optimisation model, and apply exact optimisation techniques, and metaheuristics for the optimisation of large-scale problems such as Genetic Algorithm, and/or fuzzy optimisation techniques for treating problems