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Field
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are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression
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or other elements from complex matrices, including the development and validation of new column procedures. Experience extracting and cleaning biogenic silica (diatom frustules, sponge spicules, radiolaria
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 20 hours ago
, to investigate dislocation core structures, dislocation mobility, and dislocation-driven mechanical behavior such as tension, compression, creep, and fatigue as functions of compositions, temperature, stress, time
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elemental analysis techniques (AESEC), requiring particular attention to system stability, measurement reliability, and the handling of complex chemical matrices. Strict compliance with health and safety
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-positive and Gram-negative species. Flow-cell or microfluidic biofilm systems, and live imaging of transport through biological matrices. Advanced quantitative image analysis (Fiji/ImageJ, Imaris), including
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tag and system architecture, including: power harvesting and management; data collection approach; LTE antenna integration in an extremely small footprint; message format and data compression
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printing experience in MRI image reconstruction (nonuniform FFT, compressive sensing, etc.) a good publication track record experience in supervising students. Your benefits You will have access
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based
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networks). • Compare different strategies (topology, tensor order…) to seek for an optimally compressed representation of turbulent velocity fields and of relevant operators in tensor network form. • Perform
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of Nuclear Magnetic Resonance spectroscopy, and some knowledge of mass spectrometry, in complex biological matrices (cells, culture media, tissues and biofluids). Having significant familiarity with advanced