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Field
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mobility, and create a collaborative environment. TUD and the CRC embody a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
is a rapidly growing center for research and education, with a strong emphasis on artificial intelligence and data science. It is located next to the AI Innovation Park Heilbronn, fostering
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profile A completed PhD in psychology, educational measurement, statistics, or a related field Solid knowledge of psychometrics and experience with statistical software (e.g., R) Strong interest in
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generating a high-quality training dataset to support the development of the AI foundation model Contributing to the design and implementation of advanced deep learning architectures (e.g., Transformers, CNNs
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to gain insights into complex systems and inform decision-making Design and evaluate scenarios that focus on energy systems and structural change, assessing their potential impact Develop and evaluate
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Your Job: Explore bio-inspired algorithms through simulation—both numerical and circuit-based—and experiment with existing hardware, including CMOS and memristor circuits. Additionally, will need
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mobility, and create a collaborative environment. TUD and the CRC embody a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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of the research plan through conducting of experiments, sample and data analysis and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher
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of Cape Town (UCT) and the University of California Irvine (UCI). "Systems Design" Research School The design and implementation of modern, practical, and interesting software systems raises a multitude of
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-diffraction studies of complex materials and nanodevices. The candidate will perform X-ray scattering experiments with nanofocused beams to study the structure of self-assembled superlattices of nanoparticles