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processing conditions Apply data-driven and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability
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. Potential approaches include data-driven parameter estimation for white-box models, the development of black-box models using machine learning methods (e.g., neural networks) and their combination
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Max Planck Institute for Astronomy | about 2 months ago
-Person In-Person Location(s) Heidelberg Germany Job Description We are looking for a member of the software development team specialised in AI & Machine Learning to support the further development
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Machine Learning (ML) across one or more areas of physics, to begin in the fall of 2026. This TT position is supported in part by one of the world's leading funders of fundamental scientific research
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Mathjobs.org | 19 days ago
families of algorithms for cryo-electron microscopy (cryo-EM) and broader applications in data science * Protein structure prediction: Combining traditional and machine learning approaches to protein
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families of algorithms for cryo-electron microscopy (cryo-EM) and broader applications in data science * Protein structure prediction: Combining traditional and machine learning approaches to protein
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: https://www.nist.gov/people/peter-bajcsy Keywords imaging; image analyses; machine learning; software engineering Eligibility citizenship Open to U.S. citizens level Open to Postdoctoral applicants
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Context of Job: We invite applications for multiple Postdoctoral Fellow positions as part of the NSF AI Institute for Human-AI Cooperation (NSF HAIC) ( https://haicinstitute.org/), a $21.5 million multi
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and data will be lost. Posting Summary Logo Posting Number RTF00167PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title
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-Ouellette, S., & Rudzicz, F. (2021). BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience . [2] https