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Description Compressed sensing 3D OCT Angiography We are seeking a highly motivated PhD candidate to join an interdisciplinary research project focused on next-generation Spatio-Temporal Optical Coherence
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is available from 1 October 2026 or later. You can submit your application via the link under 'how to apply'. Title Data Analytics and Machine Learning on Compressed Data Research area and project
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fabrication of microfluidic devices, the formulation and characterization of hydrogel matrices, the encapsulation and culture of adipose spheroids, and the characterization of engineered microtissues using
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RAP opportunity at National Institute of Standards and Technology NIST Compressive Sensing Methods for Electron Microscopy and Microanalysis Location Material Measurement Laboratory, Materials
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matrices, or tracking. • Applicants must possess strong communication skills to collaborate effectively with multi-disciplinary teams through changing project environments. • Due to the requirements of our
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Your position We aim to pursue a new interdisciplinary approach, combining the synthesis of multi-functional culture-matrices with cell-instructive viscoelastic properties, in-depth cell
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and materials systems that are difficult to study using conventional structural approaches. These systems range from intact bacterial cells, cell walls, biofilm extracellular matrices, and amyloid
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. This will include sample extraction, clean-up, and pre-concentration techniques for trace organic analysis in complex matrices, as well as analysis using Liquid Chromatography High Resolution Mass
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data integrity and system alignment. 4. Conducts job evaluations, market pricing, and internal equity analyses. 5. Develops and maintains salary structures, merit matrices, and incentive models. 6
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based on liquid?liquid equilibrium techniques for the removal of persistent compounds from aqueous matrices. The candidate will perform experimental work at both laboratory flask and reactor scales and