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management of factory operations. The Machine Vision department draws on its many years of expertise in image processing and pattern recognition to develop new fields of application, particularly for mobile
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excellent degree (Master of Science or equivalent) in machine learning, mathematics, robot learning, or a related field (please attach the relevant certificates to your application) A solid theoretical
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in machine learning and an interest in agentic AI, deep reinforcement learning, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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management of factory operations. The Machine Vision department draws on its many years of expertise in image processing and pattern recognition to develop new fields of application, particularly for mobile
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Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following
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) car and bicycle parking spaces Be part of change You will research the current state of the art. You will implement, train, and test deep learning model architectures. You will develop approaches
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are aiming for a broad spectrum of methodologies and topics, including but not confined to artificial intelligence and machine learning, applied economics, political economy, market design, behavioral and
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vision models Experience with event-based cameras, neuromorphic vision concepts, spiking neural networks, and/or neuromorphic computing is a plus Experience with, or willingness to learn, ROS 2 for robotic
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and