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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
liquid handling systems; and interest in machine learning and AI. 3/23/2026
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. As a hydro-focused center, the WERC conducts vital projects that turn sciences and engineering into actionable solutions. By integrating machine learning, sensing technologies, and predictive modeling
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related
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sciences, business, humanities, education, and health and human services, a specialist degree in instructional technology, and PhD degrees in marine science: coastal and marine systems science and education
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instructional technology, and PhD degrees in marine science: coastal and marine systems science and education sciences. Review of application materials will begin immediately and continue until the position is
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-edge tools and machine learning techniques to model spatial multi-omics data. The aim is to advance our understanding of protein dynamics at the single-cell level and contribute to a broader
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identification Experience in collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal
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-changing technologies. Life-changing careers. Learn more about Sandia at: https://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: We are seeking a Postdoctoral
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. Qualifications Applicants should: (a) have a PhD degree in Ecology, Meteorology and Climatology, Sustainability, Natural Resources, Agricultural or Forestry Engineering, Geography, Geoscience, Environmental