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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
reality, and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision, and advanced graphics, we are modelling every nuance of how humans and animals look and move. We develop
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Engineering, or a related discipline. • Strong expertise in machine learning, spiking neural networks, and computer architecture. • Excellent programming and research skills. • Interest in translational
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engineering, software engineering, technical computer scienceor comparable. As robot skills grow in complexity, scalable cloud training becomes essential. Here is the focus on building an AWS-based training
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institute Supervision from both chemical engineering and machine learning experts, ensuring strong interdisciplinary guidance Your Profile: Current Master`s student in Process Systems Engineering
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process development: application of machine learning and AI to analyse and optimise process parameters in high-temperature gas-phase synthesis and other advanced processing technologies; development
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particular, this includes: support the production of systematic literature maps and reviews through data collection and synthesis annotating datasets for the evaluation of machine-learning classifiers creating
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apply electrochemical impedance spectroscopy (EIS) directly during the disassembly process to classify the cells for their reusability. A pre-trained machine learning model for assessing cell condition
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concentrate on individual topics. It is not necessary to take on all of the tasks mentioned. What you bring to the table You are a registered student in the field of electrical engineering, computer engineering
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(Methods for Active Informed Machine Learning). This project is a close collaboration with the Hasso Plattner Institute. We are developing and improving machine learning methods by integrating domain
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control, and process optimization. You will work on the development of deterministic population balance models, conduct single-crystal and batch crystallization experiments, and apply modern machine