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Field
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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) manual annotation of audio, video and images What you bring to the table The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine
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) manual annotation of audio, video and images What you bring to the table The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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resonance energy transfer, siRNA mediated gene knock out, cellular imaging, qPCR, etc.) to elucidate unknown interactions between GPCRs and receptor tyrosine kinases at the cellular level. Analyses will focus
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its generation and manipulation to its application. The services offered by the institute cover the entire photonic process chain ranging from opto-mechanical and opto-electronical system design to
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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using Multimodal AI models as per the preference of the student. What you bring to the table PyTorch, Multimodal AI, Gaussian-Splatting, Image Processing (AI Approach). OR Experience with loading and
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of a prototype software module that automatically generates feedback in the defined format from the selected metrics and tests. Quantitative and qualitative evaluation of the feedback process by
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Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit. Together they form