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Field
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simulating/implementing quantum algorithms for field theories on quantum hardware. Appointment Detail: This post‑doctoral position is a full‑time, 12‑month appointment with annual renewal contingent
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Scientist to join our center. The ideal candidate will focus on the development and maintenance of advanced pulmonary MRI and CT image processing algorithms and AI solutions aimed at improving lung disease
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join CBDS. The successful candidate will contribute to AI-powered analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and
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to evaluate algorithms on those benchmarks. Contributing to writing papers and review of the current literature. Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS: A PhD in biomedical sciences
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chromatography/mass spectrometry (LC-MS) measurements using principal component analysis, partial least squares, genetic algorithms, and other multivariate statistics. Current projects have accumulated a
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, behavioral, clinical, genetic, and proteomic data. Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assists the team leader in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
: Demonstrated research experience in cartographic symbology design or digital chart portrayal systems. Experience with map generalization algorithms, scale-dependent representation, or topology-aware cartographic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
Posting Information Posting Information Department Genetics-423501 Career Area Information Technology Posting Open Date 03/09/2026 Application Deadline 04/10/2026 Open Until Filled No Position Type
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Science Center has an opening for a graduate student researcher in Mathematical Optimization for large-scale power systems planning. They will deploy developed optimization algorithms on DOE high
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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning