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Field
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to: Quantum Computing Theory Quantum Algorithms Quantum Networking for Distributed Quantum Computing (As opposed to QKD) Quantum Machine Learning Quantum Sensing Quantum Applications Quantum-safe or Quantum
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific 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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and expressing the mathematical properties of existing algorithms in preparation for publication and peer review. The algorithms are written, tested, and functioning. Timeline is ~3 months. Compensation
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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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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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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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are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications Robotics
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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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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