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is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
of researchers with disabilities. Applications should contain a short motivation explaining your interest in and fit to the position, a CV including contact information for at least one reference and transcript
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. The team develops simulations, theoretical models, image processing software and adaptive optics systems. More information about the Adaptive Optics Group at Fraunhofer IOSB can be found
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energy measurements from the pilot plant and comparison of the results with the measurement data Planning, conducting, and evaluating experiments at the pilot plant Derivation of optimal operating
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solutions for real security and data protection issues. The Secure Software Engineering research department researches and develops innovative solutions for the automatic identification of malware
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
characteristic features of the welding project based on simulation data from a finite element simulation. You will structure and plan the simulation tests, evaluate them, and build an AI model based on them. You
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. The role involves conducting wet lab experiments to generate data essential for modeling the kinetics of MZ B cells. This is a collaborative project with renowned international experts, including Dr. Dr
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the areas of laser and optics, electronics, programming, and computer-based data analysis is beneficial What we offer 👥 Team Spirit: Creative, interdisciplinary environment with a motivated team, flat
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-inflammatory features Key Responsibilities: • Conduct wet lab experiments to generate data describing the context-dependent Treg identity and underlying transcriptional networks. • Collaborate with project
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evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine