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Episteme, Condensed Matter Theory Group Position ID: Episteme-Condensed Matter Theory Group-POSTDOC [#31188] Position Title: Position Type: Postdoctoral Position Location: Cambridge, Massachusetts
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are recruiting a highly motivated postdoctoral researcher to lead the first implementation of Deep-UV Raman spectroscopy for real-time polymer identification. This project addresses a critical gap: no established
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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
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systems. Ths position requires a deep understanding of X-ray Absoprtion Spectroscopy and prior experience with methods of machine learning and artificial intelligence. A highly competitive candidate would
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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‑on experience with common machine learning / deep learning frameworks (eg. PyTorch or JAX) applied to biological or structural data. Solid Python programming skills, with experience building maintainable and
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, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programming, collaboration, and communication skills. Responsibilities: As a Postdoctoral
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: 282551530 Postdoctoral Research Associate D-25-CBE-00007 | Research | Chemical & Biological Engineering The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a
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command of data wrangling, cleaning, and large-scale dataset management. Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation
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of Ghent University (http://www.ugent.be/en ) and Ghent University Global Campus (http://ghent.ac.kr/ | http://www.ugent.be/globalcampus/en ) to learn more about our organizations. Center forBiosystems