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Field
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: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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optical sensors, including in-sensor computing technologies. An expansion towards related thermal technologies, such as thermoelectrics or calorics, is also possible and encouraged. The ideal candidate will
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of energy technologies Implanted Devices Applicants must have a PhD degree in relevant fields. Senior academics should have proven teaching commitment and performance, experience and readiness in cross
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computers and, as a result, many of them remain poorly understood. UItracold atoms trapped in optical lattices provide a pristine realization of the Hubbard model and hold the promise of solving many of its
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i-BRAIN – the Institute for Brain Research, Advanced Interfaces and Neurotechnologies - is a highly-interdisciplinary research institute focused on developing transformative brain-computer
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. Data Analysis and Interpretation: Collect and analyze experimental data, interpret results, and draw meaningful conclusions. Utilize statistical toolsand computational modeling techniques to enhance data
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the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex
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28 Aug 2025 Job Information Organisation/Company Universidad Carlos III de Madrid Department Telematic Engineering Research Field Technology » Telecommunications technology Computer
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, and abroad. Required qualifications: The candidate should have a PhD in condensed matter physics, with strong background in high vacuum, cryogenics, electronics, transport and magnetic measurements