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Researcher (R3) Application Deadline 9 May 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Imaging IT team architects, implements, and manages the computer systems and networks needed to support more than 700,000 imaging studies annually. Our team manages the full stack from network
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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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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20 Mar 2026 Job Information Organisation/Company Riga Technical University Research Field Engineering » Electrical engineering Engineering » Electronic engineering Computer science » Other
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2026-27 AY Lecturer Pool - Electrical and Computer Engineering (ECE) Apply now Job no: 555388 Work type: Instructional Faculty - Temporary/Lecturer Location: Los Angeles Categories: Unit 3 - CFA
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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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startups, and brilliant engineering students. Proximity to the Images & Réseaux competitiveness cluster and industrial leaders in cybersecurity and telecoms ensures concrete relevance for your research
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 14 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis