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first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https://link.springer.com/article/10.1186/s13059-024-03309-4 https://www.cell.com/cell
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. Responsibilities: Conduct research on automated reasoning and proof checker, AI-assisted collaboration. Develop and analyze algorithms for learning and optimization. Participate in collaborative research projects
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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Research Associate, Radiology and Imaging Services Posting Number req26573 Department Radiology & Imaging Sci Dept Department Website Link https://radiology.medicine.arizona.edu/ Location Tucson Campus
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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method development and large-scale research facilities. Essential Duties and Responsibilities Develop workflows to improve models and maps to optimize likelihood for ligand placement Develop AI/ML methods
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of the course. Other duties as assigned. Qualifications Required qualifications Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, Computational Science
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is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu/ www.uidaho.edu
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project. The overarching aim of this project is in the development of new knowledge and a new framework to facilitate the optimal design and life-long adaptation of civil infrastructure systems
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. For positions in Applied Mathematics: The ideal candidate has experience in machine learning and PDE-constrained optimization for time-dependent systems; the ideal candidate also has a strong interest in quantum