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Field
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the open-field (field trials) experience in the statistical analysis of research results or willingness to acquire such using R or comparable programming language experience in creating and evaluating
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Your Job: Research and extract industrial and commercial buildings across Germany using open-source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc) Apply machine learning/AI
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, Computer Science, or other related STEM programs. Strong understanding of mathematical modeling and simulation of dynamical systems, with a focus on time-series analysis. Experience with machine learning and deep
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. A pre-trained machine learning model for assessing cell condition based on EIS data is available from previous Master Thesis and will be integrated into the system. Be part of change literature review
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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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(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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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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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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(specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US