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or equivalent Skills/Qualifications Technical Skills: MATLAB programming. PCB design. Specific Requirements Knowledge: Neural networks / Deep learning. Acoustics. Vibrations. AI: Artificial Intelligence
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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
learning/deep learning frameworks (e.g. PyTorch); experience in single-cell analysis or machine learning is advantageous. If you fulfill all the requirements, you may be eligible for a salary grade of up
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
ablation and deep brain stimulation options for pediatric patients. Special Physical/Mental Requirements Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link https
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Classification Title: INSTRUCTOR/PKY Job Description: You belong at a K-12 teaching and learning environment that’s leading the way! If you are interested in being a part of this dedicated team
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individuals and patients. These projects involve large-scale neuroimaging data collection at 3T and 7T, computational modeling of brain responses using machine learning methods, and cross-institutional clinical
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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automated configuration mechanisms based on fingerprinting and machine learning to ensure traffic analysis remains faithful to the behavior of the monitored machines. Finally, you will validate your solutions