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improved performance in tasks of systems analysis like parameter estimation, solving inverse problems, and uncertainty quantification. The successful candidate will join a multi-institution research team
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of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality
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computing environments. Interest or experience in machine learning, inverse problems, or AI for scientific data. Strong record of research productivity and ability to work effectively in a collaborative
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Experience with super-resolution ultrasound, US localization microscopy, photoacoustic imaging, elasticity imaging, pulse encoding, solving inverse problems, machine learning, AI, SolidWorks, 3D printing FLSA
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theoretical and intellectual value, the research will benefit many applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working
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value, the research will benefit many applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working knowledge in most
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-in-ai-f… Requirements Additional Information Website for additional job details https://www.academictransfer.com/356128/ Work Location(s) Number of offers available1Company
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of the Ocean Observatories Initiative Regional Cabled Array (https://oceanobservatories.org/regional-cabled-array/ ) that land in Pacific City, Oregon. One cable runs 500 km west to Axial Seamount, while
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UiO/Anders Lien 5th December 2025 Languages English English English Postdoctoral researcher in Active Learning for Arctic observing systems Apply for this job See advertisement About the position
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functional inversion. Additional applications are possible on quasi-exact nonadiabatic nuclear dynamics simulations using tensor network states (ML-MCTDH) of vibronic coupling models. Of particular interest