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Source and conduct new experiments at these facilities. Collaborate with AI/ML researchers to incorporate forward models into inverse modeling, uncertainty quantification, autonomous analysis, and
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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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symmetries (time-reversal, inversion, etc.). The candidate must be well-versed with software packages such as Mathematica, Matlab and LTSpice. Open to Fixed Term Contract.
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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to agricultural problems that affect Americans every day from field to table. ARS will deliver cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and communities
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estimation, and acoustic source localization in complex environments. The work will also provide experience in processing data obtained from DAS systems and solving inverse problems related to estimating
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try again. UiO/Anders Lien 3rd July 2026 Languages English English English Postdoctoral Research Fellow in Active Learning for Arctic observing systems Apply for this job See advertisement About the
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try again. UiO/Anders Lien 3rd July 2026 Languages English English English PhD Research Fellow in Active Learning for Arctic observing systems Apply for this job See advertisement About the position