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well as train and support lab scientists on various cell biology and microscopy techniques including live imaging using confocal microscopy Train and support lab members on standard and emerging molecular biology
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-driven life science framework. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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About The University of Texas at El Paso: ABOUT THE ECE DEPARTMENT: The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu ) offers two undergraduate and three graduate
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of their respective concentrations will be investigated and correlated with the velocity field recorded by PIV (Particle Image Velocimetry). In parallel with the use of standard post-processing methods, an innovative
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skills: Proficiency in cell culture techniques and standard molecular and cell biology methods. • Computational skills: Experience in image processing (FIJI) and/or bioinformatics tools and/or programming
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 7 days ago
-Consistent Replicated Relations and Updatable Views. In: Abelló, A., et al. New Trends in Database and Information Systems. ADBIS 2023. Communications in Computer and Information Science, vol 1850. Springer
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19 Mar 2026 Job Information Organisation/Company Vrije Universiteit Brussel (VUB) Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Other Medical sciences
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of their application that they meet the following screening criteria in order to be given further consideration as candidates: Education Ph.D. in Electrical Engineering, Computer Engineering, Physics, or a related field
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1 Apr 2026 Job Information Organisation/Company Wrocław University of Science and Technology Research Field Engineering » Electronic engineering Researcher Profile First Stage Researcher (R1
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-spectral microscopy framework that extracts meaningful spectral information from a single image, by combining innovative optical system design with learning-based data processing. The research aims