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Field
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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, HSPICE, or similar IC design tools Knowledge in at least one area as an advantage: deep learning hardware development memory technology CMOS technology Analytical and structured thinking paired with strong
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system modeling is beneficial but not mandatory First programming skills, ideally in Python Independent and analytical way of working Reliable and conscientious working style Fluent written and spoken
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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, Internet of Things, Systems-of-Systems automation, Machine Learning, Deep Learning, Data Science, Electronic systems design, and sensor systems. Cyber-Physical Systems (CPS) focuses on integrated software
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field of study Interest in energy technology and energy economics Experience in energy system modelling is an advantage Basic programming skills, ideally in Python Independent and analytical way
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is focused on enabling applications through a fundamental understanding of material formation processes and properties. KU Leuven (University of Leuven) has been a center of learning for nearly six
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overactive bladder (OAB). Ideal candidates will have a Ph.D. in a relevant biological or computational field, with strong analytical, laboratory, or multi-omics skills, and a passion for advancing women's
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) or a similar degree with an academic level equivalent to a two-year master's degree. Additionally, you should meet the following qualifications You have a strong analytical skills and background in
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scientific conferences. • Actively participate in and contribute to the Fertile Soils project. • Build and maintain contacts with internal and external partners. • Teach courses in the Faculty of Spatial