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cryo-EM and/or cryo-ET workflows Experience in image processing and/or biostatics Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring
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practices. The findings will serve as the empirical foundation for the security framework. Defensive Strategies: Propose and prototype new defensive architectures and techniques that can be integrated
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for imaging Apply for this job See advertisement About the position Position as PhD Research Fellow in machine learning available at Department for Informatics with the research group Digital Signal Processing
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Postdoc Positions Country Portugal Application Deadline 17 Oct 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research
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the group's research on developing novel machine learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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Queen's University, Laboratory for Extreme Multi-Messenger Astrophysics Position ID: Queen's University-Laboratory for Extreme Multi-Messenger Astrophysics-POSTDOC [#30249] Position Title: Position
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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to fields like particle physics and cosmology. Research on nonlinear optical imaging systems and optical tweezers techniques for applications in soft, biological active matter systems. Computational