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and is initially limited to 2 years. The successful candidate will work in a dynamic international team situated in a world-renowned institute with cutting-edge infrastructure for cryo-EM and cryo-ET
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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talented and highly gifted candidates to apply as Postdoctoral Researcher (m/f/div) in Metagenomics The position is initially limited to three years. The Microbiome Dynamics (MBD) department contributes
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Similar Jobs About Rutgers University Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher
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generates clean energy that can power future HPC systems. You will design, implement and test energy-efficient Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within
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computing for computational fluid dynamics applications. High-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 5 days ago
Job Code: 2025_09 Job Offer from July 18, 2025 About the department The research group of “Structure and Dynamics of Chromosomes” led by Eugene Kim at the Max Planck Institute of Biophysics is
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iron garnet. Y3Fe5O12 (YIG), is a ferrimagnetic insulator with unique properties, such as a very high Faraday rotation angle and record coherence for magnetization dynamics. It has many applications in
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material intralogistics handling alternatives such as trolley-assist systems, battery-electric trucks, and in-pit crushing & conveying (IPCC), combining life-cycle analysis, and dynamic simulation
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning