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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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focus lies on a complementary approach of compression testing and high-pressure torsion deformation. The experiments are performed on hydrogen pre-charged, nanostructured metals and require analysis
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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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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.
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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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Post-Doctoral Associate in the Center for Translational Medical Devices (CENTMED) - Dr. Panče Naumov
, compression molding, injection molding, and fused deposition modeling. This position requires the preparation of ISO/ASTM test specimens for mechanical (tensile and flexural) testing of polymers and composites
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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
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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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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