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Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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Details Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training School Harvard John A. Paulson School of
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 hour ago
Postdoctoral Fellow GENERAL SUMMARY OF POSITION: Postdoctoral Positions in Computational Biology, Bioinformatics and Genomics are available in the Chan Zhou Lab (http://chanzhoulab.org/). We
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/ *This position is fully paid and visa may be arranged Basic Qualifications • Bachelor’s or master’s degree in economics, mathematics, statistics, computer science, or related fields • Strong quantitative and
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Classification Title: Research Assistant Professor Classification Minimum Requirements: Ph.D. in Biomedical Informatics, Biostatistics, Public Health, or a related field. Demonstrated expertise in
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Research Assistant in Materials Science and Additive Manufacturing Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer Science
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computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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visiting scientists. Start date may be as early as 1 June, 2025. Responsibilities: Lead a nationally recognized research program focused on the basic biology of urban pests and advancement of modern