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Field
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for an exciting job as a student assistant (m/f/d) in the field of laser drilling of recycling filters that will change the future? Then become part of our #OneTeam. You will support our team in planning
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, filtering, and prioritizing the vulnerabilities detected by static analysis tools. Harnessing the capabilities of artificial intelligence in analyzing code patterns, providing context-aware suggestions
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Your Job: Urban aerosol particles pose one of the greatest global risks to human health. A substantial fraction of these particles is secondary – formed through atmospheric reactions of emitted
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atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud microphysics. The focus is on both process-based studies and long-term observations, with which we contribute
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. The department of Atmospheric Chemistry (ACD) and Atmospheric Microphysics (AMP) research the chemical and physical properties of aerosol particles and their interactions with clouds. Process-based laboratory
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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 | 23 days ago
Job Code: MPIDS-W086 Job Offer from June 23, 2025 We seek to fill one position in the research group on Turbulence and Particles in Fluids lead by Dr. Gholamhossein Bagheri and in collaboration with
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 26 days 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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04.06.2025 Application deadline: 30.06.2025 The Theoretical Particle Physics Group at the Institute for Theoretical Physics at Tübingen University invites applications for the position of a
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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