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interaction, evolution and learning to act successfully in our world, our understanding of these phenomena is still limited. The synthesis of intelligent, autonomous, learning systems remains a major scientific
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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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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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. • Very good knowledge of computer architecture, high performance computing, and operating systems. • Pleasure in taking responsibility, independent and structured way of working, high commitment
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16.08.2021, Academic staff For the BMBF funded International Future Lab “AI4EO” (https://ai4eo.de/) we are looking for a motivated Science Manager (m/f/d) ABOUT US The International Future Lab
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international conferences. This can provide opportunities for networking and learning from other researchers in your field. Extracurricular Seminars and Trainings The in-house umbrella organisation INGENIUM
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information
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to find out more information about the IWES, our research aspects, and future colleagues or did not find what you were looking for in this vacancy listing, please visit our career website: https://s.fhg.de
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systems in a targeted manner. An important aspect of this effort is the accurate organization, harmonization, and exchange of research data that will fuel the application of machine learning approaches