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how respiratory data is collected, understood, and turned into real clinical impact for millions of patients. This is not a “maintenance” role. You will help define what is possible when high-quality
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) level in the FEoL and BEoL area of various CMOS technology nodes. Be part of change Electrical Characterization & Reliability Analysis: You perform electrical characterizations and reliability analyses
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The Energy Informatics Group at the Cognitive Energy Systems department of Fraunhofer IOSB-AST researches and develops innovative solutions for sovereign and secure energy data spaces. Our work
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should be willing to learn some of them as needed. What you contribute Enrolled student (Bachelor/Master) in acoustics, physics, mechanical engineering, electrical engineering, computer science, media
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Advertisement for the field of study such as: automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics
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What you contribute PhD or master's degree in computer science or a related field with above-average grades Extensive knowledge, keen interest, and ideally practical experience in the field
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ISAC systems Analyze system performance using analytical modeling and simulation-based evaluations Contribute to collaborative research projects and document research outcomes in project reports
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-parameter and load-pull measurements of various device geometries and epitactical variations technological computer-aided design (TCAD) to analyze breakdown mechanisms benchmark the RF device performance by
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Foundation Models to perform traversability inference on incoming camera images. However, a major challenge lies in the lack of extensive datasets for the different field environments and the high effort in
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turbines and electrolytic hydrogen production in greater detail. We test electrolyzers, fuel cells, and other components, both individually and in combination, with respect to the dynamic performance and