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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
: * Introductory proficiency in Python, R, or another programming language * Prior exposure to machine learning or AI techniques in clinical research * Experience using deep learning frameworks * Familiarity with
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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developing a novel imaging and amperometry-based platform for research into neurological diseases. About us The Esbjörner lab belongs to the Division of Chemical Biology , which is part of the Department
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molecular biology skills; proficiency with standard word, statistical, and imaging processing software (e.g., Microsoft Word, GraphPad Prism, Adobe Illustrator). Job Duties Job Duty Implement genetic, cell
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molecular biology skills; proficiency with standard word, statistical, and imaging processing software (e.g., Microsoft Word, GraphPad Prism, Adobe Illustrator). Job Duties Job Duty Implement genetic, cell
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relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
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on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL
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processes relevant to human health and disease using using genetics, molecular biology, biochemistry, cell biology, and microscopy/imaging. A qualified candidate will be capable of working independently
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary