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Field
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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Understanding the individual and relative motion of particles is fundamental to understanding transport processes in complex flows. Large-scale transport in atmospheric flows is well understood and measured by
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phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods to model and analyse the intrinsic complexities of these systems
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model to represent certain cloud mixed-phase processes need to be further developed or adapted (e.g., partial melting of ice particles, solution effects on homogeneous freezing temperatures). Within
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, the successful candidate will develop new approaches for the determination of particle export (e.g. with sediment traps) and particle modification with the help of biomarkers. The successful applicant will also
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filtering, morphological techniques, and segmentation Hands-on development of pre-processing, AI-training and local and global evaluation pipelines Evaluate centralized, individual, and federated learning
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on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent challenges
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | 7 days ago
zebrafish and various cell lines. The facility is equipped with various sorters (FACS AriaIII, BioRadS3e, Bigfoot and Large Particle Sorter) and an analytical cytometer (LSR Fortessa). Your responsibilities
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opinion dynamics. Our goal is to gain a deeper understanding of phenomena such as the spread of misinformation or the formation of filter bubbles. For this, we rely on rigorous probabilistic methods
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of XYZs, higher order perturbative calculations inside effective field theories. The particle and nuclear theory group at the TUM School of Natural science is lead by Prof. N. Brambilla and Prof. A. Vairo