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Field
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. Project Objectives 1. Observational studies of AGN jet geometry, collimation and acceleration: Measurements of jet shapes from parsec-scale images. Multi-year kinematics and model analysis to probe
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, functional MRI, diffusion-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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they interact with. By representing items through rich multimodal embeddings (from images and text) and modeling user behavior as a sequence, the system can dynamically adapt to new content and users without
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interaction/interface between the neurons and the bilayer. You will evaluate the neuronal behavior through image and data analysis. You will communicate with internal and external as well as national and
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knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific
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. Phenomena such as online witness videos, postcolonial image archives, and testimonials in art and theater indicate that technical and media prerequisites, aesthetic arrangements, cultural contexts, and
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interaction that affects HSC output in aging. This will be achieved via the implementation of state of the art multicolor flow cytometry analyses, imaging, omics techniques (e. g. single cell sequencing and
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. Responsibilities: Design and implement research experiments Data collection, including sound mineral processing, imaging techniques, X-ray diffractometry, thermal analysis and mass spectrometry, as
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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating