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mission is to initiate and perform fundamental research on the physics of complex forms of matter, and to create new functional materials, in partnership with academia and industry. The institute is located
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communication skills to collaborate smoothly with international colleagues. Nice to have: Practical experience with machine-learning frameworks (e.g., PyTorch). Prior tape-out experience (ASIC or a complex FPGA
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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something for you! Information How can we selectively convert complex lignocellulosic biomass into high-value platform chemicals with high efficiency and minimal waste? Achieving this demands innovative
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organisation At the Faculty of Behavioural, Management and Social Sciences (BMS), we unite the worlds of people and technology to address today’s complex societal challenges. We are passionate about
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complexity of the project prior knowledge in Materials Science is required. Ideally, you have a proven background in thermophysical and x-ray diffraction measurement methods. We encourage candidates with
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will be part of a leading team in network data science within the Multimedia Computing Group (MMC) in Computer Science. We share a drive to understand and optimize complex systems ranging from social
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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, and complex mechanical designs. The MagHeat project introduces groundbreaking innovations to overcome these barriers, including a novel stationary permanent magnet assembly and the use of a high
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complex task and outcomes of a certain decision in practice often becoming apparent only after several years. Therefore, effective and long-term breeding programs require reliable insights in