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Field
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science
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to ensure adequate supply of vitamins and minerals from diets from sustainable sources. Using high-throughput biomarker and data analysis and modelling, Zero_HiddenHunger_EU will deliver credible evidence
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and analysis will be a major and exciting part of the role, providing an opportunity to work at the intersection of experimental biology and computational science. The position is full-time research
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Funding competition to support two StrokeGoRed post-doctoral fellowships focused on sex- and gender-based analysis in stroke. StrokeGoRed is excited to launch a new national training competition
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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analysis components and is part of a collaborative effort within the PEPR Cell-ID network. The successful candidate will be responsible for: ● Designing and implementing chromatin tracing experiments (Hi-M
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
supervision of Dr. Hanan Salam on the: Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data
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. Specific responsibilities include, but are not limited to, the following: Develop the core tensor network algorithm for full RIXS cross-section simulations. Benchmark simulation results against ED codes
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traffic analysis equipment level, a byte stream consistent with the behavior of the monitored machine—we are recruiting a post-doctoral researcher within our Network Systems, Cybersecurity, and Law (SRCD
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected