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for MOCVD, ALD, and VPI processes Project Background: The atomic layer processing technologies such as atomic layer deposition (ALD) and its variant area selective atomic layer deposition (ASD) have
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assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
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document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses to study shape variation Conduct eco-morphological
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and quantify water mass transformation (WMT) processes in the Skagerrak, connecting the North Sea and the Baltic Sea. The Consortium members study these WMT processes by developing and applying WMT
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closely linked to the working group of Prof. Ulf Karsten at the University of Rostock and the overarching program “STB – Shallow Water Processes and Transitions to the Baltic Scale” (STB – Processes in
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in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages, PyTorch Familiar with foundation models (vision large models or multi
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and their combination with observational data to improve the interpretation of cloud processes Coupling of cloud simulation data with detailed radiation calculation Evaluation of simulated 3D cloud
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Processes and Transitions to the Baltic Scale” of IOW (https://www.io-warnemuende.de/stb-shallow-water-processes.html ), in which physical, chemical and biological oceanographers collaborate to achieve a
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research