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for the rights and sensibilities of each individual. The Department/Division School: The Department of Civil Engineering (https://www.calstatela.edu/ecst/ce) is in the College of Engineering, Computer Science, and
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justice; and experience in incorporating technology into pedagogical approaches, including designing and implementing hybrid format courses. Social justice dimensions are a key component of our program
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to, patient-specific, monthly, daily, and annual QA, machine and equipment acceptance/commissioning, imaging technology, treatment ordiagnostic planning, special procedures, and radiation safety. The focus will
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 19 days ago
engineering. Close collaboration with the Helmholtz AI Consultant Team, providing direct exposure to a broad range of scientific use cases. Access to state-of-the-art computational resources and an open
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, plasma proteomics, lipidomics, single-cell and spatial transcriptomics (Visium, CosMx), and DESI lipid imaging. Implement and maintain reproducible computational pipelines in R and Python following
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for advanced image-array data analysis. Project Title: Macroscopic Quantum Science and Technology - MARQUIS Post Duration: 12 Months, Full -Time Post Salary: €33,291 - €43,372 p.a. (IUA Salary Scale
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4 Mar 2026 Job Information Organisation/Company IMEC Research Field Engineering Computer science Physics Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established
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treatment, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD’s unique cohort-based
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-bacterial electron transfer in these systems. By combining cultivation-based microbiology with electrochemical approaches and high-resolution imaging, the work will directly probe how energy metabolism is
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance