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assignments. Core Competencies Experience with a digital asset management system, including organizing, using meta tags, and uploading final images into a shared database. Experience operating DLSR
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computer vision techniques to medical imaging datasets. Process and analyze image datasets, including quality scoring and feature extraction. Collaborate with the research team to evaluate algorithm
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Analysis: Process and analyze experimental data, visualize trends, interpret results, and draw meaningful conclusions. Algorithm Implementation: Employ convolutional neural networks to enhance image
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Tübingen, Baden-Württemberg | Germany | about 2 months ago
algorithm into a complex project such as the NICE Toolbox? What challenges might arise (e.g., dependency conflicts, integration with existing pipelines, data format compatibility), and how would you
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platforms and creating content for posting. These platforms include but may not be limited to Instagram and Facebook/Meta. This position will assist in the management of program related classroom
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Experience with augmented reality (AR) development, ideally with ARKit, ARFoundation, ARCore, Meta Quest, or comparable frameworks Hands-on experience with large language models and Python-based
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creation or editing tools such as Adobe Creative Cloud, Canva, CapCut, Meta Edits or similar applications. Strong understanding of current social media trends, platform culture and content formats
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, engineering physics, optics, photonics, or quantum communication Good to very good grades First experiences with algorithm development preferably using Python or MATLAB Basic understanding of Quantum Optics
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contribute The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine learning methods, deep learning The following knowledge is
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. Algorithm Development: Research, implement, and optimize image processing algorithms for both embedded and PC-based systems. Data Management: Analyze and evaluate modern data persistence concepts for