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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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. You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems. An excellent scientific track record proven
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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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that reveal the biology behind challenging childhood diseases. Rare diseases affect 400 million people worldwide; most still lack answers. Autonomous AI can compress months of genomic and literature analysis
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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
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of Swagelok installation, maintenance and reactor design principles. Experience in handling compressed or toxic gases. Skills 18. Demonstrable ability to plan and manage independent research.