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, including filament extrusion, compression molding, injection molding, and fused deposition modeling. This position requires the preparation of ISO/ASTM test specimens for mechanical (tensile and flexural
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models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models
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our Staff Benefits page (clicking this link will open a new window). Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another
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Benefits page (clicking this link will open a new window). Flexible working We are open to discussions about flexible working. Whether it’s a job share, part time, compressed hours or another working
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Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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, scanning electron microscopy and X-ray diffraction techniques) Conducting experiments on mechanical properties in a static compression test - determining the effect of temperature on the yield strength
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(Signal/channel generation, simulation environments, semantic compression, etc.), Semantic-aware Models and Explainable AI Proficiency in Python and machine learning frameworks such as PyTorch Hand-on
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through our online application portal before November 4th, 2025. Please do not submit compressed files. We will not consider applications sent via email or postal services. We will get in touch with you