428 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Germany
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) analysis • Research, development and implementation of deep-learning approaches • Network architecture search • Real-time image analysis • Establishing multi modal (video, thermography, acoustic, RFID
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packages for machine learning. You are not afraid of learning new technologies and frameworks and enjoy developing prototypes. You are independent, creative and curious and you can work independently. What
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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PROFILE: M.Sc. in computer science, data science, research software engineering or a closely related research field with subjects in software engineering and machine learning Experience with research
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: active learning (uncertain cases first), smart sampling, confidence thresholds, gradations (auto-label/review/manual), measurement and decision logic for throughput vs. quality. Proficiency in programming
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societal actors, including scientists, local administration, coastal communities, and other decision-makers apply skills in data science, advanced AI interface development and machine learning to apply
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Learning in Earth Observation (ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University
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based on our own machine learning models and it supports research in our field. The system consists of a multi-node environment, with an Elasticsearch database, data pipelines in Go and Python Data is
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and
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. Signal processing, AI, and sensor systems: You possess strong expertise in signal processing, particularly using statistical methods and machine learning / artificial intelligence techniques. You also have