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Field
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monitoring and fault detection. Collaborate with embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including
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neuroscience through innovative AI technologies. This unique position represents an extraordinary partnership with industry-based collaborators, and will include vendor-sponsored hardware and software
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14.12.2022, Academic staff The BMBF-funded position is part of the CoMPS project, which is a multidisciplinary project combining the fields of mathematics, computer science, geophysics, and high
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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 network coding
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. The overarching goal of this research line is to connect deep biological understanding, spanning evolution, biomechanics, materials and neural computation, with concrete space applications, turning nature-inspired
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and