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the Institute for Mechanobiology (IfM) in Boston, MA (see https://mechanobiology.northeastern.edu/our-faculty for list of the IfM core faculty). This position has an initial 2-year appointment, renewable
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-guided) Evolutionary trajectory analysis and fitness landscape modeling Integration of predictive algorithms with experimental iteration cycles High-throughput screening and selection platform development
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, and shape a new direction in quantum-omics integration. Your responsibilities will include: Lead Methodological Research: Develop innovative quantum-inspired algorithms for omics data analysis and multi
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large datasets. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses
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Bias in Amino-Acid Substitution Patterns Prediction, Modeling, and Refinement of Nucleic Acid Structures Profile of the graduate The graduate understands key areas of informatics, such as algorithms and
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minimum pay determined by rank and step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025
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individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic behavioral economics, forecasting economic indicators, or modeling complex
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scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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Conduct comparative benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate