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to different scientific components of the PID2024-156292OB-I00 research project, involving different lossless and lossy compression methods, but most significantly to the work on compressed data structures
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to investigate material behavior across different length scales, stress states, and temperatures. This research aims to provide new insights into the complex relationship between material structure and mechanical
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package, for the preparation of a doctorate, contains: Designing novel non-destructive nanometer-scale multidimensional imaging technology at high resolution and high field-of-view with depth information
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. Demonstrated ability to communicate effectively and project a positive image. Ability to respond to unscheduled utility outages. Ability to perform the essential functions of the position with or without
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positive image. Ability to respond to unscheduled utility outages. Ability to perform the essential functions of the position with or without reasonable accommodation. Preferred Qualifications: Five years
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to contribute to a highly collaborative, international project developing open-source low-field MRI systems for neuroscience research; Have research experience in compressed sensing and/or multi-contrast image
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architectures Analysis and preprocessing of different data types (texts, images,etc.) Review latest literature and data Orchestration and documentation of deep learning experiments Processing and visualization
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barriers that must maintain integrity when exposed to stretch or compression within the body. Cell divisions can relieve tissue tension but cells must divide while remaining attached to their neighbours
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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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compression and shear) are exerted on cells and these in turn are relayed as biochemical signaling events through various molecular machines. These include, adhesions, which promote anchorage-dependent survival