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and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes
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] . Technical skills The profile requires solid technical skills relating to the automatic processing of digital documents containing both text and images. In particular, the candidate must be able to demonstrate
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‘, bridges the different techniques developed within the cross-area imaging and gives support to all researchers dealing with image processing challenges. By focusing on automation and enabling correlative
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to brain processing using several different methods, including electrophysiological (EEG), functional and structural brain imaging, as well as behavior and psychophysical measurements. We offer an engaging
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14 Apr 2026 Job Information Organisation/Company Université côte d'azur Department DRH Research Field Computer science » Digital systems Researcher Profile Recognised Researcher (R2) Established
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 9 hours ago
into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing
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research projects that try to link odor perception to brain processing using several different methods, including electrophysiological (EEG), functional and structural brain imaging, as well as behavior and
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or different stages in a dynamic process. In this PostDoc project, our aim is to visualize the life-cycle of Weibel-Palade Bodies (WPBs) in the context of disease using multi-beam EM (FAST-EM) with correlative
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and tracking in LEO constellations, and monostatic and bistatic SAR imaging using communication waveforms Design and evaluate self-interference cancellation (analog/digital) and synchronization
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(ORNL). Multiple positions are available to support R&D with different research focuses. They include innovations in joining and materials processing/synthesis, AI/ML for process monitoring and control