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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 | 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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, 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
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annealers), and neuromorphic hardware. The workplan would then be: Analyze current approaches and their fit on SpiNNaker Choose a single algorithm or small subset for optimization and implementation. In