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abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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optics, optics simulation and design. We are pleased to advertise a Doctoral Researcher (PhD) position to begin in Octiber 2026, as part of the Doctoral Network of the European Commission HIPOVor “High
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). Tasks The successful candidate will conduct cutting-edge empirical research in more than one of the following areas Productivity and efficiency measurement at various levels, Policy design and impact
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requirements, and contribute to the conceptualization, design, and implementation of the Fertility Data and Collaboration Hub (FeDCH) Design and implementation of the legal, data protection and data security
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communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to the demanding requirements
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Your Job: This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are: Design and fabrication of superconducting quantum circuits Setting up
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software
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, test, and demonstrate resilience strategies that enhance ISAC system robustness against various types of jamming. You will design, implement, and analyze ISAC resilience strategies using advanced
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives. The Cortés López Lab
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, TEM, EBSD). Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories. Designing active learning and experimental design