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Field
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encourage candidates with a strong background and experience in theoretical, algorithmic, or applied research in biomedical informatics. Candidates should demonstrate a strong scholarly record of research
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Education, training and/or experience in social media, communications, marketing or related field. Experience developing engaging and persuasive marketing and/or social media content. Experience collaborating
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on the latest social media trends as well as new algorithms, features, and platforms - Identifies opportunities and strategies for new social media profiles and initiatives - Creates or edits content with
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mathematical problems and developing new algorithms for mathematical reasoning. Join us at Caltech and contribute to pioneering research that pushes the boundaries of AI and mathematical reasoning. We look
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to support a two-year Small Business Technology Transfer project (STTR) funded by the National Science Foundation. The successful candidate is expected to support the development, simulation and
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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computational methods, including machine-learning, natural language processing, and spatial analysis, to analyze large datasets with the goal of better understanding how places impact people. We develop machine
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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experimental biologists. Implements and optimizes successful algorithms and methods to be shared for use by the broader community. Develops figures and reports that provide transparency into the data quality and