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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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and learn independently and perform research with a high level of integrity. Well-organized and able to coordinate and interact with a team of other postdoctoral scholars, graduate students, research
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and novel AI hardware to help solve significant real-world problems using machine learning and deep learning. ALCF researchers work in a highly collaborative environment involving science application
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facility based in Boca Raton, FL (55 miles north of Miami). The primary research focus of CCBH is to conduct deep phenotyping (including fluid and imaging biomarkers), develop pharmacologic and non
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders. The ideal candidate will have a
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3 years) in computer science, materials science, chemistry, physics, mathematics or related engineering disciplines Knowledge of deep learning techniques for time-series and image data Experience with
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Veterinary Medicine ● Variant discovery and genome annotation: Apply deep learning and graph-based models to improve variant calling, transcriptome annotation, and functional prediction in veterinary-relevant
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Number: 6843258 Postdoctoral Research Scholar 0-5 yrs Experience Req No: 2025-19601 Category: Research/Project Type: Post Doc Salary: $5,858.67 Close Date: Overview This position has been budgeted
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Number: 6861527 Postdoctoral Scholar Employee - Astrophysics - Department of Astronomy Position overview Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at
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will provide deep, high-resolution near-infrared imaging of far more area than ever before possible. Roman’s launch is expected in the fall of 2026, making this project well timed for delivering