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Field
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priority will be given to candidates prepared to teach courses in Algorithms, Programming Languages, and/or Mobile Computing. Opportunities may also exist to teach Data Science or Mathematics courses
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Position Summary The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist with a focus on deep learning models
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Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o Classical and
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Computational Systems Biology and Bioinformatics. The research will involve algorithm development and computational analysis of biomolecular information, using both traditional and newly developed methods
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across diverse clients. You will use Frontier's computational power to scale and validate these privacy-preserving algorithms, enabling breakthroughs across energy and image modeling domains. You will also
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(tenured) in the following areas: Algorithms and complexity, Databases, High performance computing, Operating systems and Programming languages. The anticipated start date is August 8, 2026. These positions
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methods and algorithms for mass spectrometry data Bioinformatics software development, support and management of FragPipe computational platform Manuscript and report preparation Required Qualifications
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onto local storage for substantial cost savings for the lab. After this initial project, with mentoring from the Principal Investigator, the computational scientist will oversee and develop algorithms
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Computational Condensed Matter Physics and Materials Sciences o Theoretical and Computational Biophysics o Soft Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal
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bioscience data. Design, implement, and validate computational models and innovative algorithms to address core challenges within MCAIM. Collaborate with interdisciplinary teams across mathematics