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possible Instructional Designer (M/F/D) The Lab for Digital Learning Experience & Active Design (Digital LEAD Lab) is integrated in StaRs and supports faculty to establish active learning in their courses
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behavior. Your thesis can focus on (i) designing and simulating structures using CAD (Computer-Aided Design) and CFD (Computational Fluid Dynamics), (ii) on producing the structures using 3D printing and
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research and development of robust and reliable electronic components, modules and systems. R&D activities at Fraunhofer IZM in Cottbus concentrate on the design and development of application-specific high
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design and characterize low-noise signal sources as well as baseband and radio frequency components, perform EM simulations and work on the integration of trigger and readout circuits. You develop highly
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Design, Implementation and Evaluation of a Cyber Resilience Self-Assessment Framework for Virtual Po
students who are interested in a challenging thesis in the field of cyber resilience of Virtual Power Plants (VPP). The work will focus on the design, implementation and evaluation of a cyber resilience self
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-tuning, testing, and validation of AI agents. • Design, verify, and validate AI agents covering various disciplines to ensure a diverse range of capabilities. • Design simulators for autonomous spacecraft
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to facilitate fine-tuning, testing, and validation of AI agents. • Design, verify, and validate AI agents covering various disciplines to ensure a diverse range of capabilities. • Design simulators for autonomous
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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Circuit Design team in Munich and be part of the exciting world of power-efficient integrated RF, analog, and mixed-signal circuits. As a member of our team, you will have the opportunity to work on cutting
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Technology is looking for a research associate (m,f,x) for 3 years, 39,83 hours per week, TVL E13, to work on "Learning-Based Reliable Mixed-Criticality System Design" project. Abstract: A wide range of embedded