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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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Your Job: Building on in-house fabricated devices, we have recently demonstrated the ability to shuttle electrons between gate defined quantum dots in Si/SiGe over micron-scale distances using only four different AC-voltages, independent of the distance covered https://arxiv.org/abs/2108.00879 ...
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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. Your qualifications ▪ Above-average university degree in electrical engineering, communications engineering, mathematics, physics (or similar) with thorough knowledge in quantum information and
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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. Detection and imaging of electrical signals in neurons, the cells performing computation in our brain. You will work towards this goal by one of two complementary approaches: testing new quantum materials
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strategies withing current and emerging software packages and tools (Chao et al. Nat Immunol 2023, Almeida et al. Sci Immunol 2022) The successful candidate will be hosted in the Department Infection
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, christian.deppe@tum.de) Your qualifications ▪ Master’s or doctoral degree in electrical engineering, communications engineering, mathematics, physics (or similar) ▪ Interest in theoretical work with high practical
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, where laboratory functions should be integrated and automized on small chips. A possible way of establishing a precise reliable microfluidic control is via flows induced via electric fields in anisotropic
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units for air quality monitoring are urgently needed to preserve air quality, human health, and the environment. Current state-of-art commercial miniaturized gas sensors based on classical oxygen