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Field
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different backgrounds and different experience levels is required. The project offers a cohesive and diverse research environment at the University of Tübingen and a dedicated interdisciplinary project team
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 26 days ago
culture A highly collaborative and international research environment at the MPI for Brain Research, a globally renowned institution where around 40% of scientists are from abroad and 40 different countries
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mechanisms in blood cell regeneration at different ages and aims to characterize how stem and progenitor cell fate and function is altered between steady state and inflammatory conditions. We further explore
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multidisciplinary team from several project partners (incl. IPK Gatersleben and Justus-Liebig-Universität Gießen) to analyze how controlled abiotic stress regimes (drought and flooding under different seasonal
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into electricity through innovative thermoelectric generators (TEGs) that perform efficiently even under small temperature differences (ΔT ≤ 30 K), we aim to redefine how IoT devices are powered. This research has
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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resources. We offer an international and multi-disciplinary environment with strong expertise in the proposed research fields. The group consists of approximately 17 members at different levels of seniority
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
Job Code: 10-2025 Job Offer from July 21, 2025 The Max Planck Institute for Nuclear Physics is one of 84 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random