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Bold. Position Description: Support research projects focused on virtual imaging trials, computational modeling, and imaging technology evaluation. Manage, curate, and analyze experimental and simulation
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process can be directed to Prof. Chen-Ting Liao (Liao3[at]IU.edu) Basic Qualifications: • Ph.D. in Physics, Chemistry, Quantum Information Science, Optics, Electrical Engineering, or a related field at the
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13 Mar 2026 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Department of Materials Science Research Field Engineering » Materials engineering Researcher
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. For diagnostic medical sonography (DMS), must be credentialed in ARDMS or have AART in DMS. Completion of an accredited program in radiologic technology or other medical imaging modality. Minimum of five years
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engineering or generative protein design. Quantitative Imaging: Apply advanced microscopy and image analysis pipelines to measure biophysical dynamics in living cells. Output & Mentorship: Drive the publication
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: http: https//phelma.grenoble-inp.fr/ Contacts: katell.morin-allory@grenoble-inp.fr School presentation: Grenoble INP Phelma is an engineering school of the Grenoble Polytechnic Institute. It offers its
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! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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: Further Info: http://www.csulb.edu/colleges/coe/cecs/ Department of Computer Engineering Computer Science California State University Long Beach 1250 Bellflower Blvd. Long Beach CA 90840
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 2 hours ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis