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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
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transformation with a four-fold focus on human-environment interactions, just transitions, cultures of sustainability, and sustainable technology design. The institute aims to develop options and inspire social
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Your Job: In this position, you will work in an interdisciplinary team of experts in HPC, ML, and biomedicine. You will contribute your individual strengths while also developing in adjacent fields
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scientific knowledge. Its nationally accredited Research Data Centre (RDC) supports this mission by providing secure access to complex, sensitive microdata and by developing infrastructure that enables high
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four-fold focus on human-environment interactions, just transitions, cultures of sustainability, and sustainable technology design. The institute aims to develop options and inspire social
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for High-Luminosity LHC. These activities are supported by excellent mechanical and electronics engineering departments and workshops. Our ATLAS upgrade projects comprise the development of new front-end and
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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available with the following responsibilities. Further development and implementation of efficient methods for the representation and fusion of RGB-D, eye-tracking, and IMU sensor data Development of novel
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teaching, we think in terms of possibilities rather than limits and develop ideas with a future. We embrace diversity, promote potential and are committed to educational equality worthy of the name. The KWI
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to identify genetic loci, transcripts, and proteins that underlie differences in brain aging between two killifish species, with the long-term goal of developing strategies to delay brain aging in humans